From SIGSEM
%%% This file was generated by the following command:
%%% bin/boxer --input working/step/text4.ccg --semantics drs --box --resolve --roles verbnet
:- multifile sem/5, id/2.
:- discontiguous sem/5, id/2.
:- dynamic sem/5, id/2.
id(text4,1).
%%% The first school for the training of leader dogs in the country is going to be created in Mortagua and will train 22 leader dogs per year . In Mortagua , Joao Pedro Fonseca and Marta Gomes coordinate the project that seven people develop in this school . They visited several similar places in England and in France , and two future trainers are already doing internship in one of the French Schools . The communitarian funding ensures the operation of the school until 1999 . We would like our school to work similarly to the French ones , which live from donations , from the merchandising and even from the raffles that children sell in school .
sem(1,
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[pos(1001, 'DT'), pos(1002, 'JJ'), pos(1003, 'NN'), pos(1004, 'IN'), pos(1005, 'DT'), pos(1006, 'NN'), pos(1007, 'IN'), pos(1008, 'NN'), pos(1009, 'NNS'), pos(1010, 'IN'), pos(1011, 'DT'), pos(1012, 'NN'), pos(1013, 'VBZ'), pos(1014, 'VBG'), pos(1015, 'TO'), pos(1016, 'VB'), pos(1017, 'VBN'), pos(1018, 'IN'), pos(1019, 'NNP'), pos(1020, 'CC'), pos(1021, 'MD'), pos(1022, 'VB'), pos(1023, 'CD'), pos(1024, 'NN'), pos(1025, 'NNS'), pos(1026, 'IN'), pos(1027, 'NN'), pos(1028, '.'), pos(2001, 'IN'), pos(2002, 'NNP'), pos(2003, (',')), pos(2004, 'NNP'), pos(2005, 'NNP'), pos(2006, 'NNP'), pos(2007, 'CC'), pos(2008, 'NNP'), pos(2009, 'NNP'), pos(2010, 'VB'), pos(2011, 'DT'), pos(2012, 'NN'), pos(2013, 'IN'), pos(2014, 'CD'), pos(2015, 'NNS'), pos(2016, 'VBP'), pos(2017, 'IN'), pos(2018, 'DT'), pos(2019, 'NN'), pos(2020, '.'), pos(3001, 'PRP'), pos(3002, 'VBD'), pos(3003, 'JJ'), pos(3004, 'JJ'), pos(3005, 'NNS'), pos(3006, 'IN'), pos(3007, 'NNP'), pos(3008, 'CC'), pos(3009, 'IN'), pos(3010, 'NNP'), pos(3011, (',')), pos(3012, 'CC'), pos(3013, 'CD'), pos(3014, 'JJ'), pos(3015, 'NNS'), pos(3016, 'VBP'), pos(3017, 'RB'), pos(3018, 'VBG'), pos(3019, 'NN'), pos(3020, 'IN'), pos(3021, 'CD'), pos(3022, 'IN'), pos(3023, 'DT'), pos(3024, 'JJ'), pos(3025, 'NNS'), pos(3026, '.'), pos(4001, 'DT'), pos(4002, 'JJ'), pos(4003, 'NN'), pos(4004, 'VBZ'), pos(4005, 'DT'), pos(4006, 'NN'), pos(4007, 'IN'), pos(4008, 'DT'), pos(4009, 'NN'), pos(4010, 'IN'), pos(4011, 'CD'), pos(4012, '.'), pos(5001, 'PRP'), pos(5002, 'MD'), pos(5003, 'VB'), pos(5004, 'PRP$'), pos(5005, 'NN'), pos(5006, 'TO'), pos(5007, 'VB'), pos(5008, 'RB'), pos(5009, 'TO'), pos(5010, 'DT'), pos(5011, 'JJ'), pos(5012, 'NNS'), pos(5013, (',')), pos(5014, 'WDT'), pos(5015, 'VBP'), pos(5016, 'IN'), pos(5017, 'NNS'), pos(5018, (',')), pos(5019, 'IN'), pos(5020, 'DT'), pos(5021, 'NN'), pos(5022, 'CC'), pos(5023, 'RB'), pos(5024, 'IN'), pos(5025, 'DT'), pos(5026, 'NNS'), pos(5027, 'IN'), pos(5028, 'NNS'), pos(5029, 'VBP'), pos(5030, 'IN'), pos(5031, 'NN'), pos(5032, '.')],
[ne(1019, 'I-LOC'), ne(2002, 'I-LOC'), ne(2004, 'I-PER'), ne(2005, 'I-PER'), ne(2006, 'I-PER'), ne(2007, 'I-PER'), ne(2008, 'I-PER'), ne(2009, 'I-PER'), ne(3007, 'I-LOC'), ne(3010, 'I-LOC'), ne(4011, 'I-DAT')],
smerge(drs([[1001]:A, [1005]:B, [1011]:C, [1019]:D, [2004, 2005, 2006]:E, [2011]:F, [2008, 2009]:G, [3001]:H, [3007]:I, [3010]:J, [4001]:K, [4005]:L, [5001]:M, [5004]:N, [5010]:O, [5020]:P, [5001]:Q, [5004]:R, [5025]:S, [5028]:T, [5029]:U, [5031]:V], [[5012]:pred(O, one, n, 0), [5011]:pred(O, french, a, 0), [5004]:rel(A, R, of, 0), [1003, 2019, 3025, 4009, 5005]:pred(A, school, n, 0), [5004]:rel(A, N, of, 0), [3024]:pred(A, french, a, 0), [2012]:pred(F, project, n, 0), [1019, 2002]:named(D, mortagua, loc, 0), [1012]:pred(C, country, n, 0), [1006]:pred(B, training, n, 0), [1002]:pred(A, first, a, 0), [2006]:named(E, fonseca, per, 0), [2005]:named(E, pedro, per, 0), [2004]:named(E, joao, per, 0), [2009]:named(G, gomes, per, 0), [2008]:named(G, marta, per, 0), [3001]:pred(H, thing, n, 12), [3007]:named(I, england, loc, 0), [3010]:named(J, france, loc, 0), [4002]:pred(K, communitarian, a, 0), [4003]:pred(K, funding, n, 0), [4006]:pred(L, operation, n, 0), [5001]:pred(M, person, n, 1), [5004]:pred(N, person, n, 1), [5021]:pred(P, merchandising, n, 0), [5001]:pred(Q, person, n, 1), [5004]:pred(R, person, n, 1), [5026]:pred(S, raffle, n, 0), [5028]:pred(T, child, n, 0), [5029]:pred(U, sell, v, 0), [5031]:pred(V, school, n, 0), [5029]:rel(U, T, agent, 0), [5030]:rel(U, V, in, 0), [5026]:rel(U, S, rel, 0)]), smerge(drs([[1008]:W, [1008, 1009]:X, [1014]:Y, []:Z, [1008]:A1, [1008, 1009]:B1, [1024]:C1, [1023, 1024, 1025]:D1, [1027]:E1, [1022]:F1], [[1008]:pred(W, leader, n, 0), [1009]:pred(X, dog, n, 0), []:rel(W, X, nn, 0), [1007]:rel(B, X, of, 0), [1014]:pred(Y, go, v, 0), [1014]:pred(Z, proposition, n, 1), []:pred(Y, event, n, 1), [1010]:rel(B, C, in, 0), [1004]:rel(A, B, for, 0), [1014]:rel(Y, A, agent, 0), [1014]:rel(Y, Z, theme, 0), [1014]:prop(Z, drs([[1017]:G1], [[1017]:pred(G1, create, v, 0), [1017]:rel(G1, A, product, 0), []:pred(G1, event, n, 1), [1018]:rel(G1, D, in, 0)])), [1008]:pred(A1, leader, n, 0), [1009]:pred(B1, dog, n, 0), []:rel(A1, B1, nn, 0), [1007]:rel(B, B1, of, 0), [1023]:card(D1, 22, ge), [1024]:pred(C1, leader, n, 0), [1025]:pred(D1, dog, n, 0), [1027]:pred(E1, year, n, 0), [1022]:pred(F1, train, v, 0), []:pred(F1, event, n, 1), []:rel(C1, D1, nn, 0), [1010]:rel(B, C, in, 0), [1004]:rel(A, B, for, 0), [1026]:rel(D1, E1, per, 0), [1022]:rel(F1, A, agent, 0), [1022]:rel(F1, D1, patient, 0)]), smerge(drs([[2001]:H1, []:I1], [[2001]:pred(H1, in, v, 0), [2001]:pred(I1, proposition, n, 1), []:pred(H1, event, n, 1), [2001]:rel(H1, D, agent, 0), [2001]:rel(H1, I1, theme, 0), [2001]:prop(I1, drs([[2013]:J1, [2010]:K1, [2013]:L1, [2010]:M1], [[2013]:pred(J1, proposition, n, 1), [2010]:pred(K1, coordinate, v, 0), []:pred(K1, event, n, 1), [2013]:rel(F, J1, that, 0), [2010]:rel(K1, E, agent, 0), [2010]:rel(K1, F, patient, 0), [2013]:prop(J1, drs([[2014, 2015]:N1, [2016]:O1], [[2014]:card(N1, 7, ge), [2015]:pred(N1, people, n, 0), [2016]:pred(O1, develop, v, 0), [2016]:rel(O1, N1, theme, 0), []:pred(O1, event, n, 1), [2017]:rel(O1, A, in, 0)])), [2013]:pred(L1, proposition, n, 1), [2010]:pred(M1, coordinate, v, 0), []:pred(M1, event, n, 1), [2013]:rel(F, L1, that, 0), [2010]:rel(M1, G, agent, 0), [2010]:rel(M1, F, patient, 0), [2013]:prop(L1, drs([[2014, 2015]:P1, [2016]:Q1], [[2014]:card(P1, 7, ge), [2015]:pred(P1, people, n, 0), [2016]:pred(Q1, develop, v, 0), [2016]:rel(Q1, P1, theme, 0), []:pred(Q1, event, n, 1), [2017]:rel(Q1, A, in, 0)]))]))]), smerge(drs([[3003, 3004, 3005]:R1, [3002]:S1, [3003, 3004, 3005]:T1, [3002]:U1], [[3003]:pred(R1, several, a, 0), [3004]:pred(R1, similar, a, 0), [3005]:pred(R1, place, n, 0), [3002]:pred(S1, visit, v, 0), []:pred(S1, event, n, 1), [3006]:rel(R1, I, in, 0), [3002]:rel(S1, H, agent, 0), [3002]:rel(S1, R1, patient, 0), [3003]:pred(T1, several, a, 0), [3004]:pred(T1, similar, a, 0), [3005]:pred(T1, place, n, 0), [3002]:pred(U1, visit, v, 0), []:pred(U1, event, n, 1), [3009]:rel(T1, J, in, 0), [3002]:rel(U1, H, agent, 0), [3002]:rel(U1, T1, patient, 0)]), smerge(drs([[3013, 3014, 3015]:V1, [3019]:W1, [3018]:X1, [3021]:Y1], [[3013]:card(V1, 2, ge), [3021]:card(Y1, 1, ge), [3014]:pred(V1, future, a, 0), [3015]:pred(V1, trainer, n, 0), [3019]:pred(W1, internship, n, 0), [3018]:pred(X1, do, v, 0), [3021]:pred(Y1, thing, n, 12), [3018]:rel(X1, V1, agent, 0), [3018]:rel(X1, W1, patient, 0), [3017]:pred(X1, already, a, 0), []:pred(X1, event, n, 1), [3022]:rel(Y1, A, of, 0), [3020]:rel(X1, Y1, in, 0)]), smerge(drs([[4004]:Z1, [4011]:A2], [[4004]:pred(Z1, ensure, v, 0), [4011]:pred(A2, thing, n, 12), []:pred(Z1, event, n, 1), [4007]:rel(L, A, of, 0), [4004]:rel(Z1, K, agent, 0), [4004]:rel(Z1, L, patient, 0), [4010]:rel(Z1, A2, until, 0), [4011]:timex(A2, date([]: +, [4011]:'1999', []:'XX', []:'XX'))]), drs([[5003]:B2, []:C2, [5003]:D2, []:E2], [[5003]:pred(B2, like, v, 0), [5003]:pred(C2, proposition, n, 1), [5003]:rel(B2, A, patient, 0), [5003]:rel(B2, M, agent, 0), [5003]:rel(B2, C2, theme, 0), [5003]:prop(C2, drs([[5007]:F2, [5015]:G2, [5017]:H2], [[5007]:pred(F2, work, v, 0), [5007]:rel(F2, A, actor, 0), [5015]:pred(G2, live, v, 0), [5017]:pred(H2, donation, n, 0), []:pred(G2, event, n, 1), [5015]:rel(G2, O, agent, 0), [5016]:rel(G2, H2, from, 0), [5009]:rel(F2, O, to, 0), [5008]:pred(F2, similarly, a, 0), []:pred(F2, event, n, 1)])), []:pred(B2, event, n, 1), [5019]:rel(B2, P, from, 0), [5003]:pred(D2, like, v, 0), [5003]:pred(E2, proposition, n, 1), [5003]:rel(D2, A, patient, 0), [5003]:rel(D2, Q, agent, 0), [5003]:rel(D2, E2, theme, 0), [5003]:prop(E2, drs([[5007]:I2, [5015]:J2, [5017]:K2], [[5007]:pred(I2, work, v, 0), [5007]:rel(I2, A, actor, 0), [5015]:pred(J2, live, v, 0), [5017]:pred(K2, donation, n, 0), []:pred(J2, event, n, 1), [5015]:rel(J2, O, agent, 0), [5016]:rel(J2, K2, from, 0), [5009]:rel(I2, O, to, 0), [5008]:pred(I2, similarly, a, 0), []:pred(I2, event, n, 1)])), [5023]:pred(D2, even, a, 0), []:pred(D2, event, n, 1), [5024]:rel(D2, S, from, 0)]))))))) ).
%%% _______________________________________________________________________________ _________________________________________ __________________________________ __________________ __________________ ______________________ _________________________
%%% | x0 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 | | x22 x23 x24 x25 x26 x27 x28 x29 x30 x31 | | x33 x34 | | x43 x44 x45 x46 | | x47 x48 x49 x50 | | x51 x52 | | x53 x54 x55 x56 |
%%% |-------------------------------------------------------------------------------| |-----------------------------------------| |----------------------------------| |------------------| |------------------| |----------------------| |-------------------------|
%%% (| one(x14) |+(| leader(x22) |+(| in(x33) |+(| several(x43) |+(| |x47| >= 2 |+(| ensure(x51) |+| like(x53) |))))))
%%% | french(x14) | | dog(x23) | | proposition(x34) | | similar(x43) | | |x50| >= 1 | | thing(x52) | | proposition(x54) |
%%% | of(x0,x17) | | nn(x22,x23) | | event(x33) | | place(x43) | | future(x47) | | event(x51) | | patient(x53,x0) |
%%% | school(x0) | | of(x1,x23) | | agent(x33,x3) | | visit(x44) | | trainer(x47) | | of(x11,x0) | | agent(x53,x12) |
%%% | of(x0,x13) | | go(x24) | | theme(x33,x34) | | event(x44) | | internship(x48) | | agent(x51,x10) | | theme(x53,x54) |
%%% | french(x0) | | proposition(x25) | | _________________________ | | in(x43,x8) | | do(x49) | | patient(x51,x11) | | ________________ |
%%% | project(x5) | | event(x24) | | | x35 x36 x37 x38 | | | agent(x44,x7) | | thing(x50) | | until(x51,x52) | | | x57 x58 x59 | |
%%% | named(x3,mortagua,loc) | | in(x1,x2) | | x34:|-------------------------| | | patient(x44,x43) | | agent(x49,x47) | | timex(x52)=+1999XXXX | | x54:|----------------| |
%%% | country(x2) | | for(x0,x1) | | | proposition(x35) | | | several(x45) | | patient(x49,x48) | |______________________| | | work(x57) | |
%%% | training(x1) | | agent(x24,x0) | | | coordinate(x36) | | | similar(x45) | | already(x49) | | | actor(x57,x0) | |
%%% | first(x0) | | theme(x24,x25) | | | event(x36) | | | place(x45) | | event(x49) | | | live(x58) | |
%%% | named(x4,fonseca,per) | | _________________ | | | that(x5,x35) | | | visit(x46) | | of(x50,x0) | | | donation(x59) | |
%%% | named(x4,pedro,per) | | | x32 | | | | agent(x36,x4) | | | event(x46) | | in(x49,x50) | | | event(x58) | |
%%% | named(x4,joao,per) | | x25:|-----------------| | | | patient(x36,x5) | | | in(x45,x9) | |__________________| | | agent(x58,x14) | |
%%% | named(x6,gomes,per) | | | create(x32) | | | | ________________ | | | agent(x46,x7) | | | from(x58,x59) | |
%%% | named(x6,marta,per) | | | product(x32,x0) | | | | | x39 x40 | | | | patient(x46,x45) | | | to(x57,x14) | |
%%% | thing(x7) | | | event(x32) | | | | x35:|----------------| | | |__________________| | | similarly(x57) | |
%%% | named(x8,england,loc) | | | in(x32,x3) | | | | | |x39| >= 7 | | | | | event(x57) | |
%%% | named(x9,france,loc) | | |_________________| | | | | people(x39) | | | | |________________| |
%%% | communitarian(x10) | | leader(x26) | | | | develop(x40) | | | | event(x53) |
%%% | funding(x10) | | dog(x27) | | | | theme(x40,x39) | | | | from(x53,x15) |
%%% | operation(x11) | | nn(x26,x27) | | | | event(x40) | | | | like(x55) |
%%% | person(x12) | | of(x1,x27) | | | | in(x40,x0) | | | | proposition(x56) |
%%% | person(x13) | | |x29| >= 22 | | | |________________| | | | patient(x55,x0) |
%%% | merchandising(x15) | | leader(x28) | | | proposition(x37) | | | agent(x55,x16) |
%%% | person(x16) | | dog(x29) | | | coordinate(x38) | | | theme(x55,x56) |
%%% | person(x17) | | year(x30) | | | event(x38) | | | ________________ |
%%% | raffle(x18) | | train(x31) | | | that(x5,x37) | | | | x60 x61 x62 | |
%%% | child(x19) | | event(x31) | | | agent(x38,x6) | | | x56:|----------------| |
%%% | sell(x20) | | nn(x28,x29) | | | patient(x38,x5) | | | | work(x60) | |
%%% | school(x21) | | in(x1,x2) | | | ________________ | | | | actor(x60,x0) | |
%%% | agent(x20,x19) | | for(x0,x1) | | | | x41 x42 | | | | | live(x61) | |
%%% | in(x20,x21) | | per(x29,x30) | | | x37:|----------------| | | | | donation(x62) | |
%%% | rel(x20,x18) | | agent(x31,x0) | | | | |x41| >= 7 | | | | | event(x61) | |
%%% |_______________________________________________________________________________| | patient(x31,x29) | | | | people(x41) | | | | | agent(x61,x14) | |
%%% |_________________________________________| | | | develop(x42) | | | | | from(x61,x62) | |
%%% | | | theme(x42,x41) | | | | | to(x60,x14) | |
%%% | | | event(x42) | | | | | similarly(x60) | |
%%% | | | in(x42,x0) | | | | | event(x60) | |
%%% | | |________________| | | | |________________| |
%%% | |_________________________| | | even(x55) |
%%% |__________________________________| | event(x55) |
%%% | from(x55,x18) |
%%% |_________________________|
Attempted: 5. Completed: 5 (100.00%).
