t('Marcel_Beaubien', ['Marcel'-marcel, 'Beaubien'-beaubien], 77).
t(unsuccessfully, 0, 44).
t(sought, 0, 4).
t(election, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('Canadian_House', ['Canadian'-canadian, 'House'-house], 77).
t(of, 0, 44).
t('Commons'-commons, 1, 4).
t(as, 0, 44).
t(the, 0, 44).
t('Conservative'-conservative, 1, 4).
t(candidate, 0, 4).
t(in, 0, 44).
t(the, 0, 44).
t(federal, 0, 4).
t(riding, 0, 4).
t(of, 0, 44).
t('Sarnia-Lambton'-'sarnia-lambton', 1, 7).
t(in, 0, 44).
t(2004, 0, 6).
t('.', punto, 5).
t(, parag, 5).
t('.', punto, 5).
t(, parag, 5).
t('Marcel_Beaubien', ['Marcel'-marcel, 'Beaubien'-beaubien], 77).
t(was, 0, 44).
t(elected, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('Canadian_House', ['Canadian'-canadian, 'House'-house], 77).
t(of, 0, 44).
t('Commons'-commons, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_10F_1
Marcel_Beaubien unsuccessfully sought election to the Canadian_House of Commons as the conservative_candidate in the federal riding of Sarnia-Lambton in 2004 . 

id_10F_2
Marcel_Beaubien was elected to the Canadian_House of Commons . 
id_10F_1
Evaluation Score from Words and Tags


id_10F_2
[pred(elect), arg([Marcel_Beaubien, mod([])]), adj([[to, the, Canadian_House], mod([of, Commons])])] 


id_10F_1
[pred(seek), arg([Marcel_Beaubien, mod([])], [election, mod([Canadian_House, Commons])]), adj([[[in, 2004], sn-[the-art-sn, conservative_candidate-n-sn]], mod([in, the, federal, riding, of, Sarnia-Lambton, unsuccessfully])])] 
***************
id_10F
          NO ENTAILMENT
***************
t('Nokia'-nokia, 1, 4).
t((','), punt, 5).
t('Texas_Instruments', ['Texas'-texas, 'Instruments'-instruments], 77).
t(and, 0, 44).
t(other, 0, 44).
t(leading, 0, 4).
t(makers, 0, 4).
t(of, 0, 44).
t(mobile, 0, 4).
t(phones, 0, 4).
t(have, 0, 44).
t(formally, 0, 44).
t(complained, 0, 4).
t(to, 0, 44).
t('Brussels'-brussels, 1, 4).
t(that, 0, 44).
t('Qualcomm'-qualcomm, 1, 4).
t((','), punt, 5).
t(the, 0, 44).
t('US'-us, 1, 44).
t(mobile, 0, 4).
t(chipmaker, 0, 4).
t((','), punt, 5).
t(has, 0, 44).
t(unfairly, 0, 4).
t(used, 0, 4).
t(its, 0, 44).
t(patents, 0, 4).
t(on, 0, 44).
t('3/G', 0, 6).
t(technologies, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Nokia'-nokia, 1, 4).
t(produces, 0, 4).
t(mobile, 0, 4).
t(chips, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_123F_1
Nokia , Texas_Instruments and other leading makers of mobile_phones have formally complained to Brussels that Qualcomm , the US mobile chipmaker , has unfairly used its patents on 3/G technologies . 

id_123F_2
Nokia produces mobile chips . 
id_123F_1
Evaluation Score from Words and Tags


id_123F_2
[pred(produce), arg([Nokia, mod([])], [chips, mod([mobile])]), adj([[], mod([])])] 


id_123F_1
[pred(be), arg([]), adj([[Nokia, Texas_Instruments], mod([[]])])] [pred(use), arg([chipmaker, mod([United_States, mobile])], [patents, mod([3/G, technologies])]), adj([[], mod([])])] [pred(be), arg([]), adj([[other, leading, makers, mobile_phones, have, formally, complained, Brussels, Qualcomm], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
9
*********** Logical Form score ********
22.5


***************
id_123F
          ENTAILMENT   31.5
***************
t('The'-the, 1, 44).
t('Prosecutor-General'-'prosecutor-general', 1, 7).
t(explained, 0, 4).
t((','), punt, 5).
t(in, 0, 44).
t(a, 0, 44).
t(statement, 0, 4).
t(received, 0, 4).
t(by, 0, 44).
t('Agence'-agence, 1, 4).
t('France_Presse', ['France'-france, 'Presse'-presse], 77).
t((','), punt, 5).
t(that, 0, 44).
t(the, 0, 44).
t(investigation, 0, 4).
t('judge-s_', 0, 75).
t(request, 0, 4).
t(was, 0, 44).
t(sent, 0, 4).
t(today, 0, 44).
t((','), punt, 5).
t('Monday'-monday, 1, 44).
t((','), punt, 5).
t(to, 0, 44).
t(the, 0, 44).
t('Federal_Police', ['Federal'-federal, 'Police'-police], 77).
t('Authority'-authority, 1, 4).
t((','), punt, 5).
t('"', par, 5).
t(which, 0, 44).
t(has, 0, 44).
t(the, 0, 44).
t(responsibility, 0, 4).
t(of, 0, 44).
t(deciding, 0, 4).
t(whether, 0, 44).
t(or, 0, 44).
t(not, 0, 44).
t(it, 0, 44).
t(will, 0, 44).
t(forward, 0, 44).
t(this, 0, 44).
t(request, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('British'-british, 1, 4).
t(authorities, 0, 4).
t('.', punto, 5).
t('"', par, 5).
t('.', punto, 5).
t('Indicated'-indicated, 1, 4).
t(the, 0, 44).
t('Prosecutor'-prosecutor, 1, 4).
t(in, 0, 44).
t(statement, 0, 4).
t(received, 0, 4).
t(by, 0, 44).
t('AFP'-afp, 1, 4).
t(that, 0, 44).
t(requested, 0, 4).
t(the, 0, 44).
t(investigative, 0, 4).
t(judge, 0, 4).
t(rose, 0, 4).
t(today, 0, 44).
t((','), punt, 5).
t('Monday'-monday, 1, 44).
t(to, 0, 44).
t(the, 0, 44).
t('Federal_Court', ['Federal'-federal, 'Court'-court], 77).
t(of, 0, 44).
t(the, 0, 44).
t(police, 0, 4).
t('"', 0, 4).
t(dating, 0, 4).
t(back, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t(responsibility, 0, 4).
t(to, 0, 44).
t(determine, 0, 4).
t(whether, 0, 44).
t(will, 0, 44).
t(transform, 0, 4).
t(this, 0, 44).
t(request, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('British'-british, 1, 4).
t(authorities, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_1333f_1
the Prosecutor-General explained , in a statement received by Agence France_Presse , that the investigation judge-s_ request was sent today , Monday , to the Federal_Police Authority , " which has the responsibility of deciding whether_or_not it will forward this request to the British authorities " . 

id_1333f_2
Indicated the Prosecutor in statement received by AFP that requested the investigative judge rose today , Monday to the Federal_Court of the police " dating back to the responsibility to determine whether will transform this request to the British authorities . 
id_1333f_1
Evaluation Score from Words and Tags


id_1333f_2
[pred(receive), arg([Prosecutor, mod([statement])], [Prosecutor, mod([statement])], [dating, arg([responsibility, mod([])]), adj([])]), adj([[], mod([[Monday, back, by, AFP, to, the, Federal_Court, of, the, police, to, the, responsibility, requested, by, AFP, requested, the, investigative, judge, requested, to, the, Federal_Court, of, the, police, requested, to, the, responsibility]])])] [pred(transform), arg([[], mod([])], [request, mod([])]), adj([[sn-[this-ag-sn, request-n-sn]], mod([to, the, British, authorities])])] 


id_1333f_1
[pred(explain), arg([Prosecutor-General, mod([])]), adj([[in, a, statement], mod([received, by, Agence, France_Presse])])] [pred(forward), arg([[[pron, it]-[]], mod([])], [request, mod([])]), adj([[to, the, British, authorities], mod([])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[request, investigation, judge-s_, was, sent, today, Federal_Police, Authority, has, responsibility, deciding], mod([[]])])] 
***************
id_1333f
          NO ENTAILMENT
***************
t('Wasn-t_'-'wasn-t_', 1, 76).
t(it, 0, 44).
t(after, 0, 44).
t(the, 0, 44).
t('women-s_', 0, 75).
t(conference, 0, 4).
t(in, 0, 44).
t('Nairobi'-nairobi, 1, 4).
t(ten, 0, 44).
t(years, 0, 44).
t(ago, 0, 44).
t(that, 0, 44).
t(the, 0, 44).
t(world, 0, 4).
t(focused, 0, 4).
t(for, 0, 44).
t(the, 0, 44).
t(first, 0, 44).
t(time, 0, 44).
t(on, 0, 44).
t(the, 0, 44).
t(crisis, 0, 4).
t(of, 0, 44).
t(domestic_violence, [domestic, violence], 77).
t(?, puntint, 5).
t(, parag, 5).
t('The'-the, 1, 44).
t('World_Conference', ['World'-world, 'Conference'-conference], 77).
t(on, 0, 44).
t('Women'-women, 1, 4).
t(took_place, [took, place], 78).
t(in, 0, 44).
t('Beijing'-beijing, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_1549f_1
Wasn-t_ it after the women-s_ conference in Nairobi ten years ago that the world focused for_the_first_time on the crisis of domestic_violence ? 

id_1549f_2
the World_Conference on Women took_place in Beijing . 
id_1549f_1
Evaluation Score from Words and Tags


id_1549f_2
[pred(take), arg([World_Conference, mod([Women])], [World_Conference, mod([Women])]), adj([[in, Beijing], mod([])])] 


id_1549f_1
[pred(be), arg([]), adj([[was, not, after, women-s_, conference, Nairobi, ten, years, ago, world, focused, for_the_first_time, crisis, domestic_violence], mod([[]])])] 
***************
id_1549f
          NO ENTAILMENT
***************
t('Miller'-miller, 1, 4).
t(has, 0, 44).
t(redefined, 0, 4).
t(alpine, 0, 4).
t(skiing, 0, 4).
t(with, 0, 44).
t(his, 0, 44).
t(aggressive, 0, 4).
t(style, 0, 4).
t((','), punt, 5).
t(the, 0, 44).
t(likes, 0, 4).
t(of, 0, 44).
t(which, 0, 44).
t('hasn-t_', 0, 76).
t(been, 0, 44).
t(seen, 0, 4).
t(since, 0, 44).
t('Alberto_Tomba', ['Alberto'-alberto, 'Tomba'-tomba], 77).
t(first, 0, 44).
t(began, 0, 4).
t(to, 0, 44).
t(dominate, 0, 4).
t(slalom, 0, 4).
t(and, 0, 44).
t(giant, 0, 4).
t(slalom, 0, 4).
t(in, 0, 44).
t(the, 0, 44).
t(late, 0, 44).
t(eighties, 0, 4).
t(and, 0, 44).
t(throughout, 0, 44).
t(the, 0, 44).
t(early, 0, 44).
t(nineties, 0, 4).
t((','), punt, 5).
t(on, 0, 44).
t(route, 0, 4).
t(to, 0, 44).
t(50, 0, 6).
t('World_Cup', ['World'-world, 'Cup'-cup], 77).
t(wins, 0, 4).
t(in, 0, 44).
t(those, 0, 44).
t(two, 0, 44).
t(disciplines, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Alberto_Tomba', ['Alberto'-alberto, 'Tomba'-tomba], 77).
t(won, 0, 4).
t(a, 0, 44).
t(ski_race, [ski, race], 77).
t('.', punto, 5).
t(, parag, 5).

id_204T_1
Miller has redefined alpine skiing with his aggressive style , the_likes of which hasn-t_ been seen since Alberto_Tomba first began to dominate slalom and giant slalom in the late eighties and throughout the early nineties , on route to 50 World_Cup wins in those two disciplines . 

id_204T_2
Alberto_Tomba won a ski_race . 
id_204T_1
Evaluation Score from Words and Tags


id_204T_2
[pred(win), arg([Alberto_Tomba, mod([])], [ski_race, mod([])]), adj([[], mod([])])] 


id_204T_1
[pred(redefine), arg([Miller, mod([])], [skiing, mod([alpine])]), adj([[[with, his, aggressive, style], sn-[the_likes-n-sn, f2-[f2-[of-p-sp, which-rel-f2], f-[ibar-[has-ausa-ibar, not-neg-ibar, been-ausep-ibar, seen-vppt-ibar]]]]], mod([])])] [pred(begin), arg([Alberto_Tomba, mod([])], [slalom, mod([giant, slalom])], [dominate, arg([slalom, mod([giant, slalom])]), adj([])]), adj([[sn-[slalom-n-sn, and-cong-sn, giant-n-sn, slalom-n-sn], sn-[wins-n-sn, obl-[in-p-sp, those-ag-sn, two-num-sn, disciplines-n-sn]]], mod([[first, in, the, late, eighties, on, route, to, 50, World_Cup, throughout, the, early, nineties]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
6
*********** Logical Form score ********
21


***************
id_204T
          ENTAILMENT   27
***************
t('Nor'-nor, 1, 44).
t(is, 0, 44).
t(it, 0, 44).
t(clear, 0, 4).
t(whether, 0, 44).
t(any, 0, 44).
t('US'-us, 1, 44).
t(support, 0, 4).
t(to, 0, 44).
t('Germany'-germany, 1, 4).
t((','), punt, 5).
t(in, 0, 44).
t(favour, 0, 4).
t(of, 0, 44).
t('Bonn'-bonn, 1, 4).
t(as, 0, 44).
t(the, 0, 44).
t('WTO'-wto, 1, 4).
t(headquarters, 0, 4).
t((','), punt, 5).
t(would, 0, 44).
t(necessarily, 0, 44).
t(tilt, 0, 4).
t(a, 0, 44).
t(decision, 0, 4).
t(in, 0, 44).
t(that, 0, 44).
t(direction, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('The'-the, 1, 44).
t('WTO'-wto, 1, 4).
t(headquarters, 0, 4).
t(is, 0, 44).
t(in, 0, 44).
t('Bonn'-bonn, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_230F_1
Nor is it clear whether any US support to Germany , in_favour_of Bonn as the WTO headquarters , would necessarily tilt a decision in that direction . 

id_230F_2
the WTO headquarters is in Bonn . 
id_230F_1
Evaluation Score from Words and Tags


id_230F_2
[pred(be), arg([headquarters, mod([WTO])], [Bonn, mod([])]), adj([[in, Bonn], mod([])])] 


id_230F_1
[pred(be), arg([]), adj([[is, clear], mod([[]])])] [pred(support), arg([United_States, mod([any])]), adj([[], mod([in_favour_of, Bonn, to, Germany])])] [pred(tilt), arg([headquarters, mod([WTO])], [decision, mod([direction])]), adj([[], mod([])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
8
*********** Logical Form score ********
12


***************
id_230F
          ENTAILMENT   20
***************
t('Computer'-computer, 1, 4).
t(software, 0, 4).
t('(', par, 5).
t('ELFIN'-elfin, 1, 4).
t(')', par, 5).
t(designed, 0, 4).
t(to, 0, 44).
t(provide, 0, 4).
t(health, 0, 4).
t(information, 0, 4).
t(and, 0, 44).
t(to, 0, 44).
t(monitor, 0, 4).
t(patterns, 0, 4).
t(of, 0, 44).
t(use, 0, 4).
t(and, 0, 44).
t(unmet, 0, 4).
t(need, 0, 4).
t(has, 0, 44).
t(been, 0, 44).
t(developed, 0, 4).
t(for, 0, 44).
t(the, 0, 44).
t(waiting_area, [waiting, area], 77).
t(of, 0, 44).
t(health, 0, 4).
t(centres, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Computer'-computer, 1, 4).
t(terminals, 0, 4).
t(are, 0, 44).
t(used, 0, 4).
t(to, 0, 44).
t(provide, 0, 4).
t(health, 0, 4).
t(information, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_283T_1
Computer software ( ELFIN ) designed to provide health information and to monitor patterns of use and unmet need has been developed for the waiting_area of health centres . 

id_283T_2
Computer terminals are used to provide health information . 
id_283T_1
Evaluation Score from Words and Tags


id_283T_2
[pred(use), arg([terminals, mod([Computer])], [information, mod([health])], [provide, arg([information, mod([health])]), adj([])]), adj([[], mod([[]])])] 


id_283T_1
[pred(design), arg([software, mod([Computer])], [information, mod([health])], [provide, arg([information, mod([health])]), adj([])]), adj([[[ELFIN], sn-[health-n-sn, information-n-sn], sn-[patterns-n-sn, obl-[of-p-sp, use-n-sn]]], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(develope), arg([need, mod([unmet])]), adj([[for, the, waiting_area], mod([of, health, centres])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
9
*********** Logical Form score ********
31.5


***************
id_283T
          ENTAILMENT   40.5
***************
t('"', par, 5).
t('There'-there, 1, 44).
t(will, 0, 44).
t(be, 0, 44).
t(only, 0, 44).
t(one, 0, 44).
t('Hurricane'-hurricane, 1, 4).
t('Andrew'-andrew, 1, 4).
t((','), punt, 5).
t(he, 0, 44).
t(said, 0, 4).
t((','), punt, 5).
t(referring, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t(category_5, ['Category'-category, 5], 77).
t(tropical, 0, 4).
t(storm, 0, 4).
t(that, 0, 44).
t(slammed, 0, 4).
t(into, 0, 44).
t(south, 0, 4).
t('Florida'-florida, 1, 4).
t(in, 0, 44).
t(1992, 0, 6).
t((','), punt, 5).
t(causing, 0, 4).
t($, 0, 6).
t('26/5', 0, 6).
t(billion, 0, 44).
t(in, 0, 44).
t(damage, 0, 4).
t(and, 0, 44).
t(killing, 0, 4).
t(26, 0, 6).
t(people, 0, 4).
t(in, 0, 44).
t(the, 0, 44).
t('United_States', ['United'-united, 'States'-states], 77).
t(and, 0, 44).
t('Bahamas'-bahamas, 1, 4).
t('.', punto, 5).
t(, parag, 5).
t('Tropical'-tropical, 1, 4).
t(storms, 0, 4).
t(cause, 0, 4).
t(severe, 0, 4).
t(damage, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_298T_1
" There will be only one Hurricane_Andrew , he said , referring to the category_5 tropical storm that slammed into south Florida in 1992 , causing $ 26/5 billion in damage and killing 26 people in the United_States and Bahamas . 

id_298T_2
Tropical storms cause severe damage . 
id_298T_1
Evaluation Score from Words and Tags


id_298T_2
[pred(cause), arg([storms, mod([Tropical])], [damage, mod([severe])]), adj([[], mod([])])] 


id_298T_1
[pred(be), arg([[There-[]], mod([])], [Hurricane_Andrew, mod([one])]), adj([[only], mod([])])] [pred(say), arg([[[pers, he]-[]], mod([])], [storm, mod([tropical])], [referring, arg([storm, mod([tropical])]), adj([])]), adj([_G30734, mod([[slammed, 26, people, in, the, United_States, and, Bahamas, slammed, $, 26/5, slammed, billion, in, damage, slammed, in, 1992, slammed, into, south, Florida, slammed, to, the, category_5, slammed, tropical, storm]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
7
*********** Logical Form score ********
24.5


***************
id_298T
          ENTAILMENT   31.5
***************
t('Upon'-upon, 1, 44).
t(receiving, 0, 4).
t(his, 0, 44).
t('Ph_'-ph_, 1, 8).
t('D'-d, 1, 8).
t((','), punt, 5).
t('Wetherill'-wetherill, 1, 4).
t(became, 0, 4).
t(a, 0, 44).
t(staff_member, [staff, member], 77).
t(at, 0, 44).
t('Carnegie-s_'-'carnegie-s_', 1, 75).
t('Department'-department, 1, 4).
t(of, 0, 44).
t('Terrestrial'-terrestrial, 1, 4).
t('Magnetism'-magnetism, 1, 4).
t('(', par, 5).
t('DTM'-dtm, 1, 4).
t(')', par, 5).
t(in, 0, 44).
t('Washington'-washington, 1, 4).
t((','), punt, 5).
t('D_C_'-d_c_, 1, 8).
t('.', 0, 8).
t('He'-he, 1, 44).
t(originated, 0, 4).
t(the, 0, 44).
t(concept, 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t('Concordia'-concordia, 1, 4).
t('Diagram'-diagram, 1, 4).
t(for, 0, 44).
t(the, 0, 44).
t('uranium-lead', 0, 7).
t(isotopic, 0, 4).
t(system, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Wetherill'-wetherill, 1, 4).
t(was, 0, 44).
t(the, 0, 44).
t(inventor, 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t(concept, 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t('Concordia'-concordia, 1, 4).
t('Diagram'-diagram, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_31T_1
Upon receiving his Ph_D , Wetherill became a staff_member at carnegie-s_department of Terrestrial Magnetism ( DTM ) in Washington , D_C_ . He originated the concept of the Concordia Diagram for the uranium-lead isotopic system . 

id_31T_2
Wetherill was the inventor of the concept of the Concordia Diagram . 
id_31T_1
Evaluation Score from Words and Tags


id_31T_2
[pred(be), arg([Wetherill, mod([])], [inventor, mod([concept, Concordia, diagram])]), adj([[], mod([])])] 


id_31T_1
[pred(become), arg([Wetherill, mod([])], [staff_member, mod([])]), adj([[[at, carnegie-s_department], sn-[DTM-num-sn], sn-[D_C_-n-sn]], mod([in, Washington, of, Terrestrial, Magnetism])])] [pred(be), arg([]), adj([[receiving], mod([[]])])] [pred(be), arg([]), adj([[Ph_D], mod([[]])])] [pred(originate), arg([[[pers, He]-[]], mod([])], [concept, mod([Concordia, diagram])]), adj([[for, the, uranium-lead], mod([])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
11
*********** Logical Form score ********
38.5


***************
id_31T
          ENTAILMENT   49.5
***************
t('Gluten'-gluten, 1, 4).
t(is, 0, 44).
t(most, 0, 44).
t(commonly, 0, 44).
t(found, 0, 4).
t(in, 0, 44).
t(wheat, 0, 4).
t((','), punt, 5).
t(rye, 0, 4).
t((','), punt, 5).
t(and, 0, 44).
t(barley, 0, 4).
t(and, 0, 44).
t(may, 0, 44).
t(sometimes, 0, 44).
t(contaminate, 0, 4).
t(oats, 0, 4).
t(grown, 0, 4).
t(nearby, 0, 44).
t(or, 0, 44).
t(processed, 0, 4).
t(on, 0, 44).
t(the, 0, 44).
t(same, 0, 44).
t(equipment, 0, 4).
t(as, 0, 44).
t('gluten-containing', 0, 7).
t(cereals, 0, 4).
t((','), punt, 5).
t(and, 0, 44).
t(casein, 0, 4).
t(is, 0, 44).
t(found, 0, 4).
t(in, 0, 44).
t(dairy, 0, 4).
t(products, 0, 4).
t((;), punt, 5).
t(wheat, 0, 4).
t(and, 0, 44).
t(dairy, 0, 4).
t(frequently, 0, 44).
t(make_up, [make, up], 77).
t(a, 0, 44).
t(large, 0, 4).
t(proportion, 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t('Western'-western, 1, 4).
t(diet, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Gluten-free'-'gluten-free', 1, 7).
t(diets, 0, 4).
t(are, 0, 44).
t(for, 0, 44).
t(coeliacs, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_329F_1
Gluten is most commonly found in wheat , rye , and barley and may sometimes contaminate oats grown nearby or processed on the same equipment as gluten-containing cereals , and casein is found in dairy products ; wheat and dairy frequently make_up a large proportion of the Western diet . 

id_329F_2
gluten-free_diets are for coeliacs . 
id_329F_1
Evaluation Score from Words and Tags


id_329F_2
[pred(be), arg([gluten-free_diets, mod([])], [coeliacs, mod([])]), adj([[for, coeliacs], mod([])])] 


id_329F_1
[pred(be), arg([]), adj([[may, sometimes, contaminate, oats, grown, nearby], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[processed, same, equipment, gluten-containing, cereals], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[casein, is, found, dairy, products, wheat, dairy, frequently, make, up, large, proportion, Western, diet], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([Gluten, mod([])]), adj([[], mod([])])] [pred(be), arg([]), adj([[barley], mod([[]])])] [pred(find), arg([most, mod([])], [rye, mod([])]), adj([[[commonly], sn-[rye-n-sn]], mod([in, wheat])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
4
*********** Logical Form score ********
10


***************
id_329F
          ENTAILMENT   14
***************
t('Former'-former, 1, 4).
t('Chancellor_Helmut', ['Chancellor'-chancellor, 'Helmut'-helmut], 77).
t('Kohl'-kohl, 1, 4).
t((','), punt, 5).
t(who, 0, 44).
t(stunned, 0, 4).
t('Germans'-germans, 1, 4).
t(with, 0, 44).
t(admission, 0, 4).
t(that, 0, 44).
t(he, 0, 44).
t(used, 0, 4).
t(illegal, 0, 4).
t(bank, 0, 4).
t(accounts, 0, 4).
t(to, 0, 44).
t(funnel, 0, 4).
t(secret, 0, 4).
t(money, 0, 4).
t(to, 0, 44).
t('Christian_Democratic', ['Christian'-christian, 'Democratic'-democratic], 77).
t(party, 0, 4).
t((','), punt, 5).
t(invokes, 0, 4).
t(personal, 0, 4).
t(honor, 0, 4).
t(in, 0, 44).
t(refusing, 0, 4).
t(to, 0, 44).
t(disclose, 0, 4).
t(names, 0, 4).
t(of, 0, 44).
t(people, 0, 4).
t(who, 0, 44).
t(gave, 0, 4).
t(more, 0, 44).
t(than, 0, 44).
t($, 0, 6).
t(1, 0, 6).
t(million, 0, 44).
t(between, 0, 44).
t(1993, 0, 6).
t(and, 0, 44).
t(1998, 0, 6).
t((;), punt, 5).
t(scandal, 0, 4).
t(threatens, 0, 4).
t(to, 0, 44).
t(shred, 0, 4).
t('Kohl-s_'-'kohl-s_', 1, 75).
t(place, 0, 4).
t(in, 0, 44).
t(history, 0, 4).
t(for, 0, 44).
t(reunifying, 0, 4).
t('Germany'-germany, 1, 4).
t(and, 0, 44).
t(leading, 0, 4).
t('Europe'-europe, 1, 4).
t(toward, 0, 44).
t(common, 0, 4).
t(currency, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('The'-the, 1, 44).
t(name, 0, 4).
t(of, 0, 44).
t('Helmut_Kohl-s_', ['Helmut'-helmut, 'Kohl-s_'-'kohl-s_'], 77).
t(political_party, [political, party], 77).
t(is, 0, 44).
t(the, 0, 44).
t('Christian_Democratic', ['Christian'-christian, 'Democratic'-democratic], 77).
t('Union'-union, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_415F_1
Former Chancellor_Helmut Kohl , who stunned Germans with admission that he used illegal bank_accounts to funnel secret money to Christian_Democratic party , invokes personal honor in refusing to disclose names of people who gave more_than $ 1 million between 1993 and 1998 ; scandal threatens to shred kohl-s_place in history for reunifying Germany and leading Europe toward common currency . 

id_415F_2
the name of Helmut_Kohl-s_ political_party is the Christian_Democratic Union . 
id_415F_1
Evaluation Score from Words and Tags


id_415F_2
[pred(be), arg([political_party, mod([])], [Union, mod([Christian_Democratic])]), adj([[], mod([])])] [pred(be), arg([]), adj([[Helmut_Kohl-s_], mod([[]])])] 


id_415F_1
[pred(stun), arg([[[pron, who]-[]], mod([])], [Germans, mod([])], [refusing, arg([names, mod([population])]), adj([])]), adj([_G50527, mod([[gave, $, 1, million, gave, Germans, gave, between, 1993, gave, names, of, people, gave, personal, honor, gave, with, admission]])])] [pred(be), arg([]), adj([[Former, Chancellor_Helmut, Kohl], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(threaten), arg([1998, mod([scandal])], [kohl-s_place, mod([history])], [shred, arg([kohl-s_place, mod([history])]), adj([])]), adj([[[for, reunifying, Germany]], mod([[toward, common, currency]])])] 
***************
id_415F
          NO ENTAILMENT
***************
t('President_Jacques', ['President'-president, 'Jacques'-jacques], 77).
t('Chirac'-chirac, 1, 4).
t(of, 0, 44).
t('France'-france, 1, 4).
t((','), punt, 5).
t(a, 0, 44).
t(conservative, 0, 4).
t(like, 0, 4).
t('Kohl'-kohl, 1, 4).
t((','), punt, 5).
t(and, 0, 44).
t('Prime_Minister', ['Prime'-prime, 'Minister'-minister], 77).
t('Lionel_Jospin', ['Lionel'-lionel, 'Jospin'-jospin], 77).
t((','), punt, 5).
t(whose, 0, 44).
t(fellow, 0, 4).
t('Socialists'-socialists, 1, 4).
t(saw, 0, 4).
t(in, 0, 44).
t(the, 0, 44).
t(victory, 0, 4).
t(of, 0, 44).
t('Schroeder-s_'-'schroeder-s_', 1, 75).
t('Social'-social, 1, 4).
t('Democrats'-democrats, 1, 4).
t(a, 0, 44).
t(continuation, 0, 4).
t(of, 0, 44).
t(a, 0, 44).
t('European'-european, 1, 4).
t(trend, 0, 4).
t(that, 0, 44).
t(brought, 0, 4).
t(them, 0, 44).
t(and, 0, 44).
t('British_Prime', ['British'-british, 'Prime'-prime], 77).
t('Minister_Tony', ['Minister'-minister, 'Tony'-tony], 77).
t('Blair-s_'-'blair-s_', 1, 75).
t('Labor_Party', ['Labor'-labor, 'Party'-party], 77).
t(to, 0, 44).
t(power, 0, 4).
t(last, 0, 44).
t(year, 0, 44).
t((','), punt, 5).
t(paid, 0, 4).
t(tribute, 0, 4).
t(to, 0, 44).
t(both, 0, 44).
t(in, 0, 44).
t(almost, 0, 44).
t(equal, 0, 4).
t(measure, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Tony_Blair', ['Tony'-tony, 'Blair'-blair], 77).
t(belongs, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('Labor_Party', ['Labor'-labor, 'Party'-party], 77).
t('.', punto, 5).
t(, parag, 5).

id_444T_1
President_Jacques Chirac of France , a conservative like Kohl , and Prime_Minister Lionel_Jospin , whose fellow Socialists saw in the victory of Schroeder-s_ Social Democrats a continuation of a european_trend that brought them and British_Prime Minister_Tony Blair-s_ Labor_Party to power last year , paid tribute to both in almost equal measure . 

id_444T_2
Tony_Blair belongs to the Labor_Party . 
id_444T_1
Evaluation Score from Words and Tags


id_444T_2
[pred(belong), arg([Tony_Blair, mod([])]), adj([[to, the, Labor_Party], mod([])])] 


id_444T_1
[pred(saw), arg([Socialists, mod([fellow])], [continuation, mod([european_trend])]), adj([[in, the, victory], mod([of, Schroeder-s_, Social, Democrats])])] [pred(be), arg([]), adj([[brought, British_Prime, Minister_Tony, Blair-s_, Labor_Party, power], mod([[]])])] [pred(be), arg([]), adj([[President_Jacques, Chirac, France, conservative, Kohl, Prime_Minister, Lionel_Jospin], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
6
*********** Logical Form score ********
21


***************
id_444T
          ENTAILMENT   27
***************
t('The'-the, 1, 44).
t('Qin_Shi', ['Qin'-qin, 'Shi'-shi], 77).
t('Huang_Mausoleum', ['Huang'-huang, 'Mausoleum'-mausoleum], 77).
t(is, 0, 44).
t(the, 0, 44).
t(tomb, 0, 4).
t(of, 0, 44).
t('Emperor_Qin', ['Emperor'-emperor, 'Qin'-qin], 77).
t('Shi_Huang', ['Shi'-shi, 'Huang'-huang], 77).
t((','), punt, 5).
t(the, 0, 44).
t(first, 0, 44).
t(emperor, 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t('Qin_Dynasty', ['Qin'-qin, 'Dynasty'-dynasty], 77).
t('(', par, 5).
t('221/BC/207', 0, 6).
t('BC'-bc, 1, 4).
t(')', par, 5).
t(and, 0, 44).
t(also, 0, 44).
t(of, 0, 44).
t('China'-china, 1, 4).
t('.', punto, 5).
t(, parag, 5).
t('Qin_Shi', ['Qin'-qin, 'Shi'-shi], 77).
t('Huang'-huang, 1, 4).
t(was, 0, 44).
t(the, 0, 44).
t(first, 0, 44).
t('Emperor'-emperor, 1, 4).
t(of, 0, 44).
t('China'-china, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_471T_1
the Qin_Shi Huang_Mausoleum is the tomb of Emperor_Qin Shi_Huang , the first emperor of the Qin_Dynasty ( 221/BC/207 BC ) and also of China . 

id_471T_2
Qin_Shi Huang was the first Emperor of China . 
id_471T_1
Evaluation Score from Words and Tags


id_471T_2
[pred(be), arg([Huang, mod([Qin_Shi])], [Emperor, mod([China, first])]), adj([[], mod([])])] 


id_471T_1
[pred(be), arg([Huang_Mausoleum, mod([Qin_Shi])], [tomb, mod([Emperor_Qin, Shi_Huang])]), adj([[[BC], sn-[221/BC/207-num-sn], sn-[the-art-sn, first-ag-sn, emperor-n-sn, mod-[of-p-sp, the-art-sn, Qin_Dynasty-n-sn]]], mod([also, of, China])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
15
*********** Logical Form score ********
52.5


***************
id_471T
          ENTAILMENT   67.5
***************
t('For'-for, 1, 44).
t(the, 0, 44).
t(case, 0, 4).
t(of, 0, 44).
t('Aldrich_Hazen', ['Aldrich'-aldrich, 'Hazen'-hazen], 77).
t('(', par, 5).
t('Rick'-rick, 1, 4).
t(')', par, 5).
t('Ames'-ames, 1, 4).
t((','), punt, 5).
t(and, 0, 44).
t(his, 0, 44).
t('Colombian-born'-'colombian-born', 1, 7).
t(wife, 0, 4).
t((','), punt, 5).
t('Maria'-maria, 1, 4).
t(del, 0, 4).
t('Rosario_Casas', ['Rosario'-rosario, 'Casas'-casas], 77).
t('Ames'-ames, 1, 4).
t(arrested, 0, 4).
t(by, 0, 44).
t(the, 0, 44).
t('FBI'-fbi, 1, 4).
t(on, 0, 44).
t(charges, 0, 4).
t(that, 0, 44).
t(they, 0, 44).
t(were, 0, 44).
t('Russian'-russian, 1, 4).
t(spies, 0, 4).
t((','), punt, 5).
t(is, 0, 44).
t(so, 0, 44).
t(rich, 0, 4).
t(in, 0, 44).
t(mysteries, 0, 4).
t((','), punt, 5).
t(puzzles, 0, 4).
t((','), punt, 5).
t(riddles, 0, 4).
t(and, 0, 44).
t(contradictions, 0, 4).
t(that, 0, 44).
t(the, 0, 44).
t(answers, 0, 4).
t(may, 0, 44).
t(never, 0, 44).
t(be, 0, 44).
t(untangled, 0, 4).
t(even, 0, 44).
t(as, 0, 44).
t(the, 0, 44).
t('CIA-s_'-'cia-s_', 1, 75).
t(counterintell, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Aldrich_Hazen', ['Aldrich'-aldrich, 'Hazen'-hazen], 77).
t('Ames'-ames, 1, 4).
t(is, 0, 44).
t(married, 0, 4).
t(to, 0, 44).
t('Rosario_Casas', ['Rosario'-rosario, 'Casas'-casas], 77).
t('Ames'-ames, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_547T_1
For the case of Aldrich_Hazen ( Rick ) Ames , and his Colombian-born wife , Maria del Rosario_Casas Ames arrested by the FBI on charges that they were Russian spies , is so rich in mysteries , puzzles , riddles and contradictions that the answers may never be untangled even_as the CIA-s_ counterintell . 

id_547T_2
Aldrich_Hazen Ames is married to Rosario_Casas Ames . 
id_547T_1
Evaluation Score from Words and Tags


id_547T_2
[pred(marry), arg([Ames, mod([Aldrich_Hazen])]), adj([[to, Rosario_Casas, Ames], mod([])])] 


id_547T_1
[pred(be), arg([answers, mod([])], [counterintell, mod([CIA-s_])]), adj([untangled, mod([[even_as]])])] [pred(be), arg([]), adj([[case, Aldrich_Hazen, Rick, Ames, is, so, rich, mysteries, puzzles, riddles, contradictions], mod([[]])])] [pred(be), arg([]), adj([[Colombian-born, wife, Ames, Maria, del, Rosario_Casas, arrested, by, FBI, charges, were, Russian, spies], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
12
*********** Logical Form score ********
12


***************
id_547T
          ENTAILMENT   24
***************
t('On'-on, 1, 44).
t('Tuesday'-tuesday, 1, 44).
t((','), punt, 5).
t('Israel-s_'-'israel-s_', 1, 75).
t(chief, 0, 4).
t('Ashkenazi'-ashkenazi, 1, 4).
t(rabbi, 0, 4).
t((','), punt, 5).
t('Meir_Israel', ['Meir'-meir, 'Israel'-israel], 77).
t('Lau'-lau, 1, 4).
t((','), punt, 5).
t(met, 0, 4).
t(in, 0, 44).
t(his, 0, 44).
t(office, 0, 4).
t(with, 0, 44).
t(a, 0, 44).
t(group, 0, 4).
t(of, 0, 44).
t('Catholic'-catholic, 1, 4).
t(priests, 0, 4).
t(from, 0, 44).
t('Rome'-rome, 1, 4).
t('members-', 0, 4).
t(of, 0, 44).
t(the, 0, 44).
t(peace, 0, 4).
t(group, 0, 4).
t('St_'-st_, 1, 44).
t('Egidio-'-'egidio-', 1, 3).
t(and, 0, 44).
t(handed, 0, 4).
t(them, 0, 44).
t(a, 0, 44).
t(letter, 0, 4).
t(for, 0, 44).
t('Pope_John', ['Pope'-pope, 'John'-john], 77).
t('Paul_II', ['Paul'-paul, 'II'-ii], 77).
t((','), punt, 5).
t(who, 0, 44).
t(was, 0, 44).
t(born, 0, 4).
t(in, 0, 44).
t('Poland'-poland, 1, 4).
t('.', punto, 5).
t(, parag, 5).
t('Pope_John', ['Pope'-pope, 'John'-john], 77).
t('Paul_II', ['Paul'-paul, 'II'-ii], 77).
t(was, 0, 44).
t(born, 0, 4).
t(in, 0, 44).
t('Poland'-poland, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_559T_1
On Tuesday , Israel-s_ chief Ashkenazi rabbi , Meir_Israel Lau , met in his office with a group of Catholic priests from Rome members- of the peace group St_Egidio- and handed them a letter for Pope_John Paul_II , who was born in Poland . 

id_559T_2
Pope_John Paul_II was born in Poland . 
id_559T_1
Evaluation Score from Words and Tags


id_559T_2
[pred(bear), arg([Paul_II, mod([Pope_John])]), adj([[in, Poland], mod([])])] 


id_559T_1
[pred(be), arg([]), adj([[handed, letter, Pope_John, Paul_II, was, born, Poland], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(meet), arg([rabbi, mod([Meir_Israel, Lau, Israel-s_, chief, Ashkenazi])]), adj([[[from, Rome, members-]], mod([in, his, office, with, a, group, of, Catholic, priests, of, the, peace, group, St_Egidio-])])] [pred(be), arg([]), adj([[], mod([[]])])] 
***************
id_559T
          NO ENTAILMENT
***************
t('British_Prime', ['British'-british, 'Prime'-prime], 77).
t('Minister_Tony', ['Minister'-minister, 'Tony'-tony], 77).
t('Blair'-blair, 1, 4).
t(has, 0, 44).
t(been, 0, 44).
t(warned, 0, 4).
t(by, 0, 44).
t('Labor_Party', ['Labor'-labor, 'Party'-party], 77).
t(officials, 0, 4).
t(that, 0, 44).
t(his, 0, 44).
t(government, 0, 4).
t(is, 0, 44).
t(seen, 0, 4).
t(as, 0, 44).
t('"', par, 5).
t(arrogant, 0, 4).
t(by, 0, 44).
t(the, 0, 44).
t(voters, 0, 4).
t(as, 0, 44).
t(they, 0, 44).
t(become, 0, 4).
t(increasingly, 0, 44).
t(worried, 0, 4).
t(about, 0, 44).
t(health, 0, 4).
t((','), punt, 5).
t(education, 0, 4).
t(and, 0, 44).
t(transport, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Tony_Blair', ['Tony'-tony, 'Blair'-blair], 77).
t(belongs, 0, 4).
t(to, 0, 44).
t(the, 0, 44).
t('Labor_Party', ['Labor'-labor, 'Party'-party], 77).
t('.', punto, 5).
t(, parag, 5).

id_573F_1
British_Prime Minister_Tony Blair has been warned by Labor_Party officials that his government is seen as " arrogant by the voters as they become increasingly worried about health , education and transport . 

id_573F_2
Tony_Blair belongs to the Labor_Party . 
id_573F_1
Evaluation Score from Words and Tags


id_573F_2
[pred(belong), arg([Tony_Blair, mod([])]), adj([[to, the, Labor_Party], mod([])])] 


id_573F_1
[pred(warn), arg([Blair, mod([British_Prime, Minister_Tony])]), adj([[[by, Labor_Party, officials]], mod([is, seen, arrogant, is, seen, by, Labor_Party, officials, is, seen, by, the, voters])])] [pred(become), arg([[[pron, they]-[]], mod([])], [transport, mod([education])]), adj([[sn-[education-n-sn, and-cong-sn, transport-n-sn]], mod([about, health, increasingly, worried])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
9
*********** Logical Form score ********
31.5


***************
id_573F
          ENTAILMENT   40.5
***************
t('Co-producing'-'co-producing', 1, 7).
t(the, 0, 44).
t(film, 0, 4).
t(is, 0, 44).
t('Happy'-happy, 1, 4).
t('Madison'-madison, 1, 4).
t((','), punt, 5).
t(the, 0, 44).
t(company, 0, 4).
t(owned, 0, 4).
t(by, 0, 44).
t('Sandler'-sandler, 1, 4).
t((','), punt, 5).
t(who, 0, 44).
t(has, 0, 44).
t(been, 0, 44).
t(a, 0, 44).
t(compatriot, 0, 4).
t(of, 0, 44).
t('Schneider-s_'-'schneider-s_', 1, 75).
t(since, 0, 44).
t(they, 0, 44).
t(met, 0, 4).
t(early, 0, 44).
t(in, 0, 44).
t(their, 0, 44).
t(careers, 0, 4).
t((','), punt, 5).
t(as, 0, 44).
t(mutually, 0, 44).
t(struggling, 0, 4).
t('stand-up', 0, 7).
t(comedians, 0, 4).
t(in, 0, 44).
t('Los_Angeles', ['Los'-los, 'Angeles'-angeles], 77).
t('.', punto, 5).
t(, parag, 5).
t('Happy'-happy, 1, 4).
t('Madison'-madison, 1, 4).
t(works_for, [works, for], 78).
t(the, 0, 44).
t(company, 0, 4).
t(owned, 0, 4).
t(by, 0, 44).
t('Sandler'-sandler, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_60F_1
Co-producing the film is Happy_Madison , the company owned by Sandler , who has been a compatriot of Schneider-s_ since they met early in their careers , as mutually struggling stand-up comedians in Los_Angeles . 

id_60F_2
Happy_Madison works_for the company owned by Sandler . 
id_60F_1
Evaluation Score from Words and Tags


id_60F_2
[pred(work), arg([Happy_Madison, mod([])]), adj([[for, the, company], mod([owned, by, Sandler])])] 


id_60F_1
[pred(be), arg([film, mod([])]), adj([[], mod([])])] [pred(be), arg([]), adj([[Co-producing], mod([[]])])] [pred(own), arg([Happy_Madison, mod([company])]), adj([[[by, Sandler]], mod([has, been, a, compatriot, of, Schneider-s_, has, been, by, Sandler])])] [pred(meet), arg([[[pron, they]-[]], mod([])], [comedians, mod([stand-up])], [struggling, arg([comedians, mod([stand-up])]), adj([])]), adj([[sn-[stand-up-ag-sn, comedians-n-sn]], mod([[early, in, Los_Angeles, in, their, careers, mutually]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
10
*********** Logical Form score ********
35


***************
id_60F
          ENTAILMENT   45
***************
t('Self-containing'-'self-containing', 1, 7).
t(flats, 0, 4).
t(will, 0, 44).
t(be, 0, 44).
t(provided, 0, 4).
t(to, 0, 44).
t(enable, 0, 4).
t(hostel, 0, 4).
t(residents, 0, 4).
t(to, 0, 44).
t(move, 0, 4).
t(into, 0, 44).
t('long-term', 0, 7).
t(accommodation, 0, 4).
t((','), punt, 5).
t(while, 0, 44).
t('Salvation_Army', ['Salvation'-salvation, 'Army'-army], 77).
t(social, 0, 4).
t(workers, 0, 4).
t(and, 0, 44).
t(volunteers, 0, 4).
t(have, 0, 44).
t(been, 0, 44).
t(trained, 0, 4).
t(in, 0, 44).
t(outreach, 0, 4).
t(work, 0, 4).
t(to, 0, 44).
t(make, 0, 4).
t(contact, 0, 4).
t(with, 0, 44).
t(homeless, 0, 4).
t(people, 0, 4).
t(on, 0, 44).
t(the, 0, 44).
t(streets, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('The'-the, 1, 44).
t('Salvation_Army', ['Salvation'-salvation, 'Army'-army], 77).
t(is, 0, 44).
t(working, 0, 4).
t(to, 0, 44).
t(make, 0, 4).
t(contact, 0, 4).
t(with, 0, 44).
t(homeless, 0, 4).
t(people, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_640T_1
Self-containing flats will be provided to enable hostel residents to move_into long-term accommodation , while Salvation_Army social_workers and volunteers have been trained in outreach work to make contact with homeless people on the streets . 

id_640T_2
the Salvation_Army is working to make contact with homeless people . 
id_640T_1
Evaluation Score from Words and Tags


id_640T_2
[pred(work), arg([Salvation_Army, mod([])], [contact, mod([homeless, population])], [make, arg([contact, mod([homeless, population])]), adj([])]), adj([[], mod([[]])])] 


id_640T_1
[pred(provide), arg([flats, mod([Self-containing])], [residents, mod([hostel])], [enable, arg([residents, mod([hostel])]), adj([])]), adj([[], mod([[]])])] [pred(train), arg([volunteers, mod([])], [contact, mod([homeless, population])], [make, arg([contact, mod([homeless, population])]), adj([])]), adj([[[in, outreach]], mod([[on, the, streets]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[long-term, accommodation, Salvation_Army, social_workers], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
16
*********** Logical Form score ********
56


***************
id_640T
          ENTAILMENT   72
***************
t('Up'-up, 1, 44).
t(until, 0, 44).
t(the, 0, 44).
t(1992, 0, 6).
t('Olympic_Games', ['Olympic'-olympic, 'Games'-games], 77).
t('(', par, 5).
t('Barcelona'-barcelona, 1, 4).
t(and, 0, 44).
t('Albertville'-albertville, 1, 4).
t(')', par, 5).
t((','), punt, 5).
t(the, 0, 44).
t('Organising'-organising, 1, 4).
t('Committees'-committees, 1, 4).
t(for, 0, 44).
t(the, 0, 44).
t('Olympic_Games', ['Olympic'-olympic, 'Games'-games], 77).
t('(', par, 5).
t('OCOGs'-ocogs, 1, 4).
t(')', par, 5).
t(could, 0, 44).
t(integrate, 0, 4).
t(demonstration, 0, 4).
t(sports, 0, 4).
t(into, 0, 44).
t(the, 0, 44).
t('Olympic'-olympic, 1, 4).
t(programme, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Barcelona'-barcelona, 1, 4).
t(and, 0, 44).
t('Albertville'-albertville, 1, 4).
t(hosted, 0, 4).
t(the, 0, 44).
t(1992, 0, 6).
t('Olympic_Games', ['Olympic'-olympic, 'Games'-games], 77).
t('.', punto, 5).
t(, parag, 5).

id_659T_1
Up until the 1992 Olympic_Games ( Barcelona and Albertville ) , the organising Committees for the Olympic_Games ( OCOGs ) could integrate demonstration sports into the Olympic programme . 

id_659T_2
Barcelona and Albertville hosted the 1992 Olympic_Games . 
id_659T_1
Evaluation Score from Words and Tags


id_659T_2
[pred(host), arg([Albertville, mod([Barcelona])], [Olympic_Games, mod([1992])]), adj([[], mod([])])] 


id_659T_1
[pred(integrate), arg([OCOGs, mod([])], [sports, mod([demonstration])]), adj([[into, the, Olympic, programme], mod([])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[1992], mod([[]])])] [pred(be), arg([]), adj([[Barcelona, Albertville, Olympic_Games], mod([[]])])] [pred(be), arg([]), adj([[organising, Committees], mod([[]])])] [pred(be), arg([]), adj([[Olympic_Games], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
11
*********** Logical Form score ********
16.5


***************
id_659T
          ENTAILMENT   27.5
***************
t('Their'-their, 1, 44).
t(work, 0, 4).
t(has, 0, 44).
t(stimulated, 0, 4).
t(research, 0, 4).
t(into, 0, 44).
t(microbes, 0, 4).
t(as, 0, 44).
t(possible, 0, 4).
t(reasons, 0, 4).
t(for, 0, 44).
t(other, 0, 44).
t(chronic, 0, 4).
t(inflammatory, 0, 4).
t(conditions, 0, 4).
t((','), punt, 5).
t(such, 0, 44).
t(as, 0, 44).
t('Crohn-s_'-'crohn-s_', 1, 75).
t(disease, 0, 4).
t((','), punt, 5).
t(ulcerative_colitis, [ulcerative, colitis], 77).
t((','), punt, 5).
t(rheumatoid_arthritis, [rheumatoid, arthritis], 77).
t(and, 0, 44).
t(atherosclerosis, 0, 4).
t((','), punt, 5).
t(the, 0, 44).
t('Nobel'-nobel, 1, 4).
t(assembly, 0, 4).
t(said, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t(rheumatoid_arthritis, ['Rheumatoid'-rheumatoid, arthritis], 77).
t(is, 0, 44).
t(caused, 0, 4).
t(by, 0, 44).
t(microbes, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_668F_1
Their work has stimulated research into microbes as possible reasons for other chronic inflammatory conditions , such_as Crohn-s_ disease , ulcerative_colitis , rheumatoid_arthritis and atherosclerosis , the Nobel assembly said . 

id_668F_2
rheumatoid_arthritis is caused by microbes . 
id_668F_1
Evaluation Score from Words and Tags


id_668F_2
[pred(cause), arg([rheumatoid_arthritis, mod([])]), adj([[by, microbes], mod([])])] 


id_668F_1
[pred(say), arg([assembly, mod([Nobel])]), adj([[], mod([])])] [pred(stimulate), arg([work, mod([])], [research, mod([])]), adj([[[for, other, chronic, inflammatory, conditions], sn-[Crohn-s_-ng-sn, disease-n-sn, appos-[ulcerative_colitis-n-sn]], sn-[rheumatoid_arthritis-n-sn, and-cong-sn, atherosclerosis-n-sn]], mod([])])] 
***************
id_668F
          NO ENTAILMENT
***************
t('Ullmann'-ullmann, 1, 4).
t(was, 0, 44).
t(married, 0, 4).
t(to, 0, 44).
t('Irma_Goldberg', ['Irma'-irma, 'Goldberg'-goldberg], 77).
t(who, 0, 44).
t(was, 0, 44).
t(his, 0, 44).
t(assistant, 0, 4).
t(from, 0, 44).
t(1905, 0, 6).
t(to, 0, 44).
t(1910, 0, 6).
t(at, 0, 44).
t(his, 0, 44).
t(laboratory, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Ullmann'-ullmann, 1, 4).
t(and, 0, 44).
t('Irma_Goldberg', ['Irma'-irma, 'Goldberg'-goldberg], 77).
t(got_married, [got, married], 78).
t(in, 0, 44).
t(1905, 0, 6).
t('.', punto, 5).
t(, parag, 5).
t('.', punto, 5).
t(, parag, 5).

id_73F_1
Ullmann was married to Irma_Goldberg who was his assistant from 1905 to 1910 at his laboratory . 

id_73F_2
Ullmann and Irma_Goldberg got_married in 1905 . 
id_73F_1
Evaluation Score from Words and Tags


id_73F_2
[pred(be), arg([]), adj([[Irma_Goldberg, got_married, 1905], mod([[]])])] [pred(be), arg([]), adj([[Ullmann], mod([[]])])] 


id_73F_1
[pred(marry), arg([Ullmann, mod([])], [assistant, mod([])]), adj([[[at, his, laboratory]], mod([from, 1905, to, 1910, to, Irma_Goldberg])])] 
***************
id_73F
          NO ENTAILMENT
***************
t('The'-the, 1, 44).
t(scientific, 0, 4).
t(community, 0, 4).
t(now, 0, 44).
t(generally, 0, 44).
t(agrees, 0, 4).
t(that, 0, 44).
t(between, 0, 44).
t(5, 0, 6).
t(and, 0, 44).
t(8, 0, 6).
t(million, 0, 44).
t(years, 0, 44).
t(ago, 0, 44).
t((','), punt, 5).
t(there, 0, 44).
t(lived, 0, 4).
t(in, 0, 44).
t('Africa'-africa, 1, 4).
t(a, 0, 44).
t(hominid, 0, 4).
t(which, 0, 44).
t(would, 0, 44).
t(ultimately, 0, 44).
t(give_rise, [give, rise], 78).
t(to, 0, 44).
t(the, 0, 44).
t(first, 0, 44).
t(hominids, 0, 4).
t(and, 0, 44).
t(later, 0, 44).
t(the, 0, 44).
t(members_of, [members, of], 77).
t(the, 0, 44).
t(genus_Homo, [genus, 'Homo'-homo], 77).
t('.', punto, 5).
t(, parag, 5).
t('Humans'-humans, 1, 4).
t(existed, 0, 4).
t('10/000', 0, 6).
t(years, 0, 44).
t(ago, 0, 44).
t('.', punto, 5).

id_753F_1
the scientific community now generally agrees that between 5 and 8 million years ago , there lived in Africa a hominid which would ultimately give_rise to the first hominids and later the members_of the genus_Homo . 

id_753F_2
Humans existed 10/000 years ago . 
id_753F_1
Evaluation Score from Words and Tags


id_753F_2
[pred(exist), arg([Humans, mod([])]), adj([ago, mod([10/000, years])])] 


id_753F_1
[pred(agree), arg([community, mod([scientific])], [million, mod([8])]), adj([[[between, 5]], mod([now, generally, years, ago])])] [pred(live), arg([there, mod([])], [hominid, mod([])]), adj([[[in, Africa]], mod([would, ultimately, give_rise, a, hominid, would, ultimately, give_rise, in, Africa, would, ultimately, give_rise, later, would, ultimately, give_rise, the, the, genus_Homo, members_of, would, ultimately, give_rise, to, the, first, hominids])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
2
*********** Logical Form score ********
7


***************
id_753F
          ENTAILMENT   9
***************
t('Molly_Walsh', ['Molly'-molly, 'Walsh'-walsh], 77).
t((','), punt, 5).
t(21, 0, 6).
t((','), punt, 5).
t(a, 0, 44).
t('George_Washington', ['George'-george, 'Washington'-washington], 77).
t(university_student, ['University'-university, student], 77).
t(shopping, 0, 4).
t(at, 0, 44).
t(a, 0, 44).
t('CVS'-cvs, 1, 4).
t(pharmacy, 0, 4).
t(in, 0, 44).
t('Washington'-washington, 1, 4).
t((','), punt, 5).
t('D_C_'-d_c_, 1, 8).
t((','), punt, 5).
t(said, 0, 4).
t(she, 0, 44).
t('didn-t_', 0, 76).
t(plan, 0, 4).
t(to, 0, 44).
t(toss, 0, 4).
t(any, 0, 44).
t(of, 0, 44).
t(the, 0, 44).
t('store-brand', 0, 7).
t(drugs, 0, 4).
t(at, 0, 44).
t(home, 0, 4).
t(that, 0, 44).
t('she-d_', 0, 76).
t(bought, 0, 4).
t(to, 0, 44).
t(save, 0, 4).
t(money, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Nor'-nor, 1, 44).
t(did, 0, 44).
t(she, 0, 44).
t(plan, 0, 4).
t(to, 0, 44).
t(stop, 0, 4).
t(buying, 0, 4).
t(the, 0, 44).
t(generic, 0, 4).
t(products, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Molly_Walsh', ['Molly'-molly, 'Walsh'-walsh], 77).
t(plans, 0, 4).
t(to, 0, 44).
t(stop, 0, 4).
t(buying, 0, 4).
t(the, 0, 44).
t(generic, 0, 4).
t(products, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_766F_1
Molly_Walsh , 21 , a George_Washington university_student shopping at a CVS pharmacy in Washington , D_C_ , said she didn-t_ plan to toss any of the store-brand drugs at_home that she-d_ bought to save money . 

id_766F_2
Nor did she plan to stop buying the generic products . 

id_766F_3
Molly_Walsh plans to stop buying the generic products . 
id_766F_2
Evaluation Score from Words and Tags


id_766F_3
[pred(plan), arg([Molly_Walsh, mod([])], [products, mod([generic])], [stop, arg([products, mod([generic])]), adj([])]), adj([[], mod([[]])])] 


id_766F_2
[pred(plane), arg([[[pron, she]-[]], mod([])], [products, mod([generic])], [stop, arg([products, mod([generic])]), adj([])]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
11
*********** Logical Form score ********
16.5


***************
id_766F
          ENTAILMENT   27.5
***************
t('Under'-under, 1, 44).
t(the, 0, 44).
t(constitution, 0, 4).
t('Mr'-mr, 1, 44).
t('Putin'-putin, 1, 4).
t(has, 0, 44).
t(to, 0, 44).
t(stand_down, [stand, down], 78).
t(in, 0, 44).
t(2008, 0, 6).
t((','), punt, 5).
t(after, 0, 44).
t(serving, 0, 4).
t(two, 0, 44).
t(terms, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('But'-but, 1, 44).
t(he, 0, 44).
t(has, 0, 44).
t(now, 0, 44).
t(become, 0, 4).
t(so, 0, 44).
t(powerful, 0, 4).
t(and, 0, 44).
t(popular, 0, 4).
t(that, 0, 44).
t(it, 0, 44).
t(is, 0, 44).
t(widely, 0, 44).
t(assumed, 0, 4).
t(whoever, 0, 44).
t(he, 0, 44).
t(names, 0, 4).
t(as, 0, 44).
t(the, 0, 44).
t(preferred, 0, 4).
t(candidate, 0, 4).
t(will, 0, 44).
t(win, 0, 4).
t(the, 0, 44).
t(election, 0, 4).
t((','), punt, 5).
t('Richard_Galpin', ['Richard'-richard, 'Galpin'-galpin], 77).
t(reports, 0, 4).
t(from, 0, 44).
t('Moscow'-moscow, 1, 4).
t('.', punto, 5).
t(, parag, 5).
t('Putin'-putin, 1, 4).
t(will, 0, 44).
t(win, 0, 4).
t(the, 0, 44).
t(2008, 0, 6).
t(elections, 0, 4).
t('.', punto, 5).
t(, parag, 5).

id_769F_1
Under the constitution Mr_Putin has_to stand_down in 2008 , after serving two terms . 

id_769F_2
But he has now become so powerful and popular that it is widely assumed whoever he names as the preferred candidate will win the election , Richard_Galpin reports from Moscow . 

id_769F_3
Putin will win the 2008 elections . 
id_769F_2
Evaluation Score from Words and Tags


id_769F_3
[pred(win), arg([Putin, mod([])], [elections, mod([2008])]), adj([[], mod([])])] 


id_769F_2
[pred(be), arg([]), adj([[has, now, become, so, powerful], mod([[]])])] [pred(be), arg([]), adj([[], mod([[]])])] [pred(be), arg([]), adj([[popular], mod([[]])])] [pred(be), arg([]), adj([[is, widely, assumed, whoever], mod([[]])])] [pred(name), arg([[[pers, he]-[]], mod([])]), adj([[], mod([])])] [pred(win), arg([candidate, mod([preferred])], [election, mod([])]), adj([[sn-[Richard_Galpin-n-sn, reports-n-sn, obl-[from-p-sp, Moscow-n-sn]], sn-[the-art-sn, election-n-sn]], mod([])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
6
*********** Logical Form score ********
9


***************
id_769F
          ENTAILMENT   15
***************
t('The'-the, 1, 44).
t(gap, 0, 4).
t(with, 0, 44).
t('China'-china, 1, 4).
t(alone, 0, 4).
t(was, 0, 44).
t($, 0, 6).
t('232/5bn', 0, 6).
t(last, 0, 44).
t(year, 0, 44).
t((','), punt, 5).
t(the, 0, 44).
t(largest, 0, 4).
t(imbalance, 0, 4).
t(the, 0, 44).
t('US'-us, 1, 44).
t(has, 0, 44).
t(ever, 0, 44).
t(recorded, 0, 4).
t(with, 0, 44).
t(one, 0, 44).
t(country, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('There'-there, 1, 44).
t(is, 0, 44).
t(no, 0, 44).
t(trade_gap, [trade, gap], 77).
t(between, 0, 44).
t('China'-china, 1, 4).
t(and, 0, 44).
t('US'-us, 1, 8).
t('.', 0, 8).
t(, parag, 5).

id_794F_1
the gap with China alone was $ 232/5bn last year , the largest imbalance the US has ever recorded with one country . 

id_794F_2
There is no trade_gap between China_and_US . 
id_794F_1
Evaluation Score from Words and Tags


id_794F_2
[pred(be), arg([[], mod([])], [trade_gap, mod([])]), adj([[], mod([between, China_and_US, no])])] 


id_794F_1
[pred(record), arg([United_States, mod([largest, imbalance])]), adj([[with, one, country], mod([])])] [pred(be), arg([gap, mod([])], [year, mod([232/5bn, last])]), adj([[[alone]], mod([with, China])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
9
*********** Logical Form score ********
31.5


***************
id_794F
          ENTAILMENT   40.5
***************
t('It-s_'-'it-s_', 1, 75).
t(very, 0, 44).
t(difficult, 0, 4).
t(to, 0, 44).
t(get, 0, 4).
t(teams, 0, 4).
t(from, 0, 44).
t('China'-china, 1, 4).
t(the, 0, 44).
t(right, 0, 4).
t(to, 0, 44).
t(stay, 0, 4).
t(here, 0, 44).
t(for, 0, 44).
t(a, 0, 44).
t(longer, 0, 4).
t(period, 0, 44).
t(of, 0, 44).
t(time, 0, 44).
t('.', punto, 5).
t('It'-it, 1, 44).
t(is, 0, 44).
t(difficult, 0, 4).
t(to, 0, 44).
t(get, 0, 4).
t(the, 0, 44).
t(right, 0, 4).
t(to, 0, 44).
t(stay, 0, 4).
t(in, 0, 44).
t('China'-china, 1, 4).
t(for, 0, 44).
t(a, 0, 44).
t(long, 0, 4).
t(period, 0, 44).
t(of, 0, 44).
t(time, 0, 44).
t('.', punto, 5).

id_800F_1
It-s_ very difficult to get teams from China the right to stay here for a longer period_of_time . 

id_800F_2
it is difficult to get the right to stay in China for a long period_of_time . 
id_800F_1
Evaluation Score from Words and Tags


id_800F_2
[pred(be), arg([[[pron, it]-[]], mod([])], [right, mod([])], [get, arg([right, mod([])]), adj([])]), adj([[[difficult]], mod([[for, a, long, period_of_time, in, China]])])] 


id_800F_1
[pred(be), arg([[[pron, it]-[]], mod([])], [difficult, mod([very])], [get, arg([teams, mod([China])]), adj([])]), adj([here, mod([[for, a, longer, period_of_time]])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
12
*********** Logical Form score ********
42


***************
id_800F
          ENTAILMENT   54
***************
t('Mo_Siegel', ['Mo'-mo, 'Siegel'-siegel], 77).
t(retired, 0, 4).
t(in, 0, 44).
t(1986, 0, 6).
t((','), punt, 5).
t(and, 0, 44).
t(the, 0, 44).
t(next, 0, 4).
t(year, 0, 44).
t((','), punt, 5).
t('Kraft'-kraft, 1, 4).
t(announced, 0, 4).
t(they, 0, 44).
t(would, 0, 44).
t(sell, 0, 4).
t('Celestial'-celestial, 1, 4).
t('Seasonings'-seasonings, 1, 4).
t(to, 0, 44).
t('Lipton'-lipton, 1, 4).
t('.', punto, 5).
t(, parag, 5).
t('The'-the, 1, 44).
t(sale, 0, 4).
t(was, 0, 44).
t(successfully, 0, 4).
t(challenged, 0, 4).
t(by, 0, 44).
t('Bigelow'-bigelow, 1, 4).
t(under, 0, 44).
t('anti-trust', 0, 7).
t(laws, 0, 4).
t((','), punt, 5).
t(and, 0, 44).
t(local, 0, 4).
t(management, 0, 4).
t(purchased, 0, 4).
t(the, 0, 44).
t(company, 0, 4).
t(back, 0, 4).
t(from, 0, 44).
t('Kraft'-kraft, 1, 4).
t(in, 0, 44).
t(1988, 0, 6).
t('.', punto, 5).
t(, parag, 5).
t('.', punto, 5).
t(, parag, 5).
t('Kraft'-kraft, 1, 4).
t(sold, 0, 4).
t('Celestial'-celestial, 1, 4).
t('Seasonings'-seasonings, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_86T_1
Mo_Siegel retired in 1986 , and the next year , Kraft announced they would sell Celestial Seasonings to Lipton . 

id_86T_2
the sale was successfully challenged by Bigelow under anti-trust laws , and local management purchased the company back from Kraft in 1988 . 

id_86T_3
Kraft sold Celestial Seasonings . 
id_86T_2
Evaluation Score from Words and Tags


id_86T_3
[pred(sell), arg([Kraft, mod([])], [Seasonings, mod([Celestial])]), adj([[], mod([])])] 


id_86T_2
[pred(challenge), arg([sale, mod([])]), adj([[[by, Bigelow]], mod([under, anti-trust, laws])])] [pred(purchase), arg([management, mod([local])], [company, mod([])]), adj([[[back]], mod([from, Kraft, in, 1988])])] [pred(be), arg([]), adj([[], mod([[]])])] 
***************
id_86T
          NO ENTAILMENT
***************
t('Dr_Felix', ['Dr_'-dr_, 'Felix'-felix], 77).
t('Soto_Toro', ['Soto'-soto, 'Toro'-toro], 77).
t('(', par, 5).
t(born, 0, 4).
t(1967, 0, 6).
t(in, 0, 44).
t('Guaynabo'-guaynabo, 1, 4).
t((','), punt, 5).
t('Puerto_Rico', ['Puerto'-puerto, 'Rico'-rico], 77).
t(')', par, 5).
t((','), punt, 5).
t(is, 0, 44).
t(an, 0, 44).
t(astronaut, 0, 4).
t(applicant, 0, 4).
t(and, 0, 44).
t(an, 0, 44).
t('Electrical'-electrical, 1, 4).
t('Designs'-designs, 1, 4).
t('Engineer'-engineer, 1, 4).
t(in, 0, 44).
t('NASA'-nasa, 1, 4).
t((','), punt, 5).
t(who, 0, 44).
t(developed, 0, 4).
t(an, 0, 44).
t(electronic, 0, 4).
t('3/D', 0, 6).
t(measuring, 0, 4).
t(system, 0, 4).
t('.', punto, 5).
t(, parag, 5).
t('Soto_Toro', ['Soto'-soto, 'Toro'-toro], 77).
t(invented, 0, 4).
t(a, 0, 44).
t('3/D', 0, 6).
t(measuring_system, [measuring, system], 77).
t('.', punto, 5).
t(, parag, 5).

id_87T_1
Dr_Felix Soto_Toro ( born 1967 in Guaynabo , Puerto_Rico ) , is an astronaut applicant and an Electrical designs Engineer in NASA , who developed an electronic 3/D measuring system . 

id_87T_2
Soto_Toro invented a 3/D measuring_system . 
id_87T_1
Evaluation Score from Words and Tags


id_87T_2
[pred(invent), arg([Soto_Toro, mod([])], [measuring_system, mod([3/D])]), adj([[], mod([])])] 


id_87T_1
[pred(bear), arg([Soto_Toro, mod([Dr_Felix])], [1967, mod([])]), adj([Puerto_Rico, mod([[in, Guaynabo], sn-[1967-num-sn], sn-[an-art-sn, Electrical-n-sn, designs-n-sn, engineer-n-sn, obl-[in-p-sp, NASA-n-sn]], sn-[an-art-sn, astronaut-n-sn, applicant-n-sn]])])] [pred(develope), arg([[[pron, who]-[]], mod([])], [system, mod([electronic, 3/D, measuring])]), adj([[], mod([])])] 


*********** SHALLOW EVALUATION SCORES ********
*********** Syntactic score ********
7
*********** Logical Form score ********
17.5


***************
id_87T
          ENTAILMENT   24.5
***************
t('Mrs_'-mrs_, 1, 44).
t('Bush-s_'-'bush-s_', 1, 75).
t(approval, 0, 4).
t(ratings, 0, 4).
t(have, 0, 44).
t(remained, 0, 4).
t(very, 0, 44).
t(high, 0, 44).
t((','), punt, 5).
t(above, 0, 44).
t('80%', 0, 6).
t((','), punt, 5).
t(even, 0, 44).
t(as, 0, 44).
t(her, 0, 44).
t('husband-s_', 0, 75).
t(have, 0, 44).
t(recently, 0, 44).
t(dropped, 0, 4).
t(below, 0, 44).
t('50%', 0, 6).
t('.', punto, 5).
t(, parag, 5).
t('80%', 0, 6).
t(approve_of, [approve, of], 78).
t('Mr_'-mr_, 1, 44).
t('Bush'-bush, 1, 4).
t('.', punto, 5).
t(, parag, 5).

id_8F_1
Mrs_Bush-s_ approval ratings have remained very high , above 80% , even_as her husband-s_ have recently dropped below 50% . 

id_8F_2
80% approve_of Mr_Bush . 
id_8F_1
Evaluation Score from Words and Tags


id_8F_2
[pred(approve), arg([80%, mod([])]), adj([[of, Mr_Bush], mod([])])] 


id_8F_1
[pred(remain), arg([ratings, mod([approval, Mrs_Bush-s_])], [high, mod([very])]), adj([even_as, mod([[above], sn-[80%-num-sn]])])] [pred(drop), arg([husband-s_, mod([])]), adj([[below, 50%], mod([])])] 
***************
id_8F
          NO ENTAILMENT
***************
Total Results for Correct False Snippets  7
Total Results for Correct True Snippets  10
Total Results for Wrong Snippets  12
Recall for False Snippets  41.1765
Recall for True Snippets  83.3333
Total Error Rate  41.3793
Total Precision  58.6207
