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The following records all cause a crash on
File "/UniversalPetrarch/PETRgraph.py", line 1544, in get_verb_code
lowermatch = match_lower(patternDictPath, verb, target)
File "/UniversalPetrarch/PETRgraph.py", line 1424, in match_lower
temptargetmatch = match_noun(path, np)
File "/UniversalPetrarch/PETRgraph.py", line 1246, in match_noun
if np.npIDs[0] == noun_phrase.npIDs[1]:
IndexError: list index out of range
The only way I can bypass them is eliminating the primary verb (e.g. TALK, STRIKE, MEET, CAME) rather than a pattern but it looks like what they have in common is an ADP (WITH, FROM) linked immediately to that verb.
<Sentence date="20150522" id="2fac7ae5-59c4-4577-b22e-43cb44ac7b21_1" category="COMPARE" evaluate="true">
<P1Event [['VNM', 'USABUS', '100']]>
<P2Event [['VNM', 'USABUS', '010']]>
<Text>
Ho Chi Minh City wants to meet with and talk to U.S. businesses to solve problems and create
advantageous environment for them, said the city People's Committee Deputy Chairman Le Manh Ha while
receiving U.S. Bitter's hope that there would have regular meetings between city leaders and U.S.
investors to help them solve procedure issues and give newcomers a hand to start their business in
the city .
</Text>
<Parse>
1 Ho Ho PROPN NNP Number=Sing 4 compound _ _
2 Chi chi PROPN NNP Number=Sing 1 flat _ _
3 Minh Minh PROPN NNP Number=Sing 4 compound _ _
4 City City PROPN NNP Number=Sing 5 nsubj _ _
5 wants want VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _
6 to to PART TO _ 7 mark _ _
7 meet meet VERB VB VerbForm=Inf 5 xcomp _ _
8 with with ADP IN _ 7 obl _ _
9 and and CCONJ CC _ 10 cc _ _
10 talk talk VERB VB VerbForm=Inf 7 conj _ _
11 to to ADP IN _ 13 case _ _
12 U.S. U.S. PROPN NNP Number=Sing 13 compound _ _
13 businesses business NOUN NNS Number=Plur 10 obl _ _
14 to to PART TO _ 15 mark _ _
15 solve solve VERB VB VerbForm=Inf 13 acl _ _
16 problems problem NOUN NNS Number=Plur 15 obj _ _
17 and and CCONJ CC _ 18 cc _ _
18 create create VERB VBP Mood=Ind|Tense=Pres|VerbForm=Fin 15 conj _ _
19 advantageous advantageous ADJ JJ Degree=Pos 20 amod _ _
20 environment environment NOUN NN Number=Sing 18 obj _ _
21 for for ADP IN _ 22 case _ _
22 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 18 obl _ _
23 , , PUNCT , _ 24 punct _ _
24 said say VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 5 conj _ _
25 the the DET DT Definite=Def|PronType=Art 27 det _ _
26 city city NOUN NN Number=Sing 27 compound _ _
27 People People PROPN NNPS Number=Plur 34 nmod:poss _ _
28 's 's PART POS _ 27 case _ _
29 Committee committee PROPN NNP Number=Sing 34 compound _ _
30 Deputy deputy PROPN NNP Number=Sing 31 compound _ _
31 Chairman chairman PROPN NNP Number=Sing 33 compound _ _
32 Le Le PROPN NNP Number=Sing 31 flat _ _
33 Manh Manh PROPN NNP Number=Sing 34 compound _ _
34 Ha ha PROPN NNP Number=Sing 24 appos _ _
35 while while SCONJ IN _ 36 mark _ _
36 receiving receive VERB VBG VerbForm=Ger 34 advcl _ _
37 U.S. U.S. PROPN NNP Number=Sing 38 compound _ _
38 Bitter bitter PROPN NNP Number=Sing 40 nmod:poss _ _
39 's 's PART POS _ 38 case _ _
40 hope hope NOUN NN Number=Sing 36 obj _ _
41 that that SCONJ IN _ 44 mark _ _
42 there there PRON EX _ 44 expl _ _
43 would would AUX MD VerbForm=Fin 44 aux _ _
44 have have VERB VB VerbForm=Inf 40 acl _ _
45 regular regular ADJ JJ Degree=Pos 46 amod _ _
46 meetings meeting NOUN NNS Number=Plur 44 obj _ _
47 between between ADP IN _ 49 case _ _
48 city city NOUN NN Number=Sing 49 compound _ _
49 leaders leader NOUN NNS Number=Plur 46 nmod _ _
50 and and CCONJ CC _ 52 cc _ _
51 U.S. U.S. PROPN NNP Number=Sing 52 compound _ _
52 investors investor NOUN NNS Number=Plur 49 conj _ _
53 to to PART TO _ 54 mark _ _
54 help help VERB VB VerbForm=Inf 52 acl _ _
55 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 54 obj _ _
56 solve solve VERB VB VerbForm=Inf 54 xcomp _ _
57 procedure procedure NOUN NN Number=Sing 58 compound _ _
58 issues issue NOUN NNS Number=Plur 56 obj _ _
59 and and CCONJ CC _ 60 cc _ _
60 give give VERB VB VerbForm=Inf 56 conj _ _
61 newcomers newcomer PRON PRP _ 60 iobj _ _
62 a a DET DT Definite=Ind|PronType=Art 63 det _ _
63 hand hand NOUN NN Number=Sing 60 obj _ _
64 to to PART TO _ 65 mark _ _
65 start start VERB VB VerbForm=Inf 63 acl _ _
66 their they PRON PRP$ Number=Plur|Person=3|Poss=Yes|PronType=Prs 67 nmod:poss _ _
67 business business NOUN NN Number=Sing 65 obj _ _
68 in in ADP IN _ 70 case _ _
69 the the DET DT Definite=Def|PronType=Art 70 det _ _
70 city city NOUN NN Number=Sing 67 nmod _ _
71 . . PUNCT . _ 5 punct _ _
</Parse></Sentence>
<Sentence date="20151017" id="2f6242b3-4c51-490e-a277-e01298fe3bbc_7" category="COMPARE" evaluate="false">
<P1Event [['RUS', 'USA', '013']]>
<P2Event [['RUS', 'USA', '044']]>
<Text>
`` Moscow hopes to talk with'' all the participants of this complicated process, including with our
American partners'', Putin added .
</Text>
<Parse>
1 `` `` SYM $ _ 2 compound _ _
2 Moscow Moscow PROPN NNP Number=Sing 3 nsubj _ _
3 hopes hope VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _
4 to to PART TO _ 5 mark _ _
5 talk talk VERB VB VerbForm=Inf 3 xcomp _ _
6 with with ADP IN _ 5 obl _ _
7 '' '' PUNCT '' _ 3 punct _ _
8 all all DET PDT _ 10 det:predet _ _
9 the the DET DT Definite=Def|PronType=Art 10 det _ _
10 participants participant NOUN NNS Number=Plur 24 nsubj _ _
11 of of ADP IN _ 14 case _ _
12 this this DET DT Number=Sing|PronType=Dem 14 det _ _
13 complicated complicated ADJ JJ Degree=Pos 14 amod _ _
14 process process NOUN NN Number=Sing 10 nmod _ _
15 , , PUNCT , _ 10 punct _ _
16 including include VERB VBG VerbForm=Ger 20 case _ _
17 with with ADP IN _ 20 case _ _
18 our we PRON PRP$ Number=Plur|Person=1|Poss=Yes|PronType=Prs 20 nmod:poss _ _
19 American american ADJ JJ Degree=Pos 20 amod _ _
20 partners partner NOUN NNS Number=Plur 10 nmod _ _
21 '' '' PUNCT '' _ 20 punct _ _
22 , , PUNCT , _ 10 punct _ _
23 Putin Putin PROPN NNP Number=Sing 24 compound _ _
24 added add VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 3 parataxis _ _
25 . . PUNCT . _ 3 punct _ _
</Parse></Sentence>
<Sentence date="20150927" id="30191726-169c-4ea0-b19a-8afa8bc7c281_2" category="COMPARE" evaluate="true">
<P1Event [['JAMCOP', 'MNCJPN', '010']]>
<P2Event [['JAMCOP', 'MNCJPN', '010']]>
<Text>
Guy Forbes, of Kingston Police, told the Whig-Standard a light-blue Toyota Prius, carrying at least
three passengers and the driver, struck a beige Mazda Protege 6 from behind .
</Text>
<Parse>
1 Guy guy NOUN NN Number=Sing 2 compound _ _
2 Forbes Forbes NOUN NNS Number=Plur 8 nsubj _ _
3 , , PUNCT , _ 2 punct _ _
4 of of ADP IN _ 6 case _ _
5 Kingston Kingston PROPN NNP Number=Sing 6 compound _ _
6 Police police PROPN NNP Number=Sing 2 nmod _ _
7 , , PUNCT , _ 8 punct _ _
8 told tell VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 0 root _ _
9 the the DET DT Definite=Def|PronType=Art 10 det _ _
10 Whig-Standard Whig-Standard PROPN NNP Number=Sing 8 obj _ _
11 a a DET DT Definite=Ind|PronType=Art 13 det _ _
12 light-blue light-blue ADJ JJ Degree=Pos 13 amod _ _
13 Toyota Toyota PROPN NNP Number=Sing 10 appos _ _
14 Prius Prius PROPN NNP Number=Sing 13 flat _ _
15 , , PUNCT , _ 8 punct _ _
16 carrying carry VERB VBG VerbForm=Ger 8 advcl _ _
17 at at ADV RB _ 18 case _ _
18 least least ADV RBS Degree=Sup 19 nmod _ _
19 three three NUM CD NumType=Card 20 nummod _ _
20 passengers passenger NOUN NNS Number=Plur 16 obj _ _
21 and and CCONJ CC _ 23 cc _ _
22 the the DET DT Definite=Def|PronType=Art 23 det _ _
23 driver driver NOUN NN Number=Sing 20 conj _ _
24 , , PUNCT , _ 8 punct _ _
25 struck strike VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 8 ccomp _ _
26 a a DET DT Definite=Ind|PronType=Art 29 det _ _
27 beige beige NOUN NN Number=Sing 28 compound _ _
28 Mazda Mazda PROPN NNP Number=Sing 29 compound _ _
29 Protege Protege PROPN NNP Number=Sing 25 obj _ _
30 6 6 NUM CD NumType=Card 29 nummod _ _
31 from from ADP IN _ 25 obl _ _
32 behind behind ADP IN _ 31 case _ _
33 . . PUNCT . _ 8 punct _ _
</Parse></Sentence>
<Sentence date="20151020" id="30e773e2-8d50-4800-81ce-49b27e4c1680_1" category="COMPARE" evaluate="true">
<P1Event [['CAN', 'USAGOV', '010']]>
<P2Event [['CAN', 'USAGOV', '010']]>
<Text>
Canada's Prime Minister-designate Justin Trudeau, who came from behind to oust the ruling
Conservatives, said he has told US President Barack Obama that Canada will pull out of the coalition
bombing mission against the Islamic State, but maintain humanitarian aid and training .
</Text>
<Parse>
1 Canada Canada PROPN NNP Number=Sing 6 nmod:poss _ _
2 's 's PART POS _ 1 case _ _
3 Prime Prime PROPN NNP Number=Sing 4 compound _ _
4 Minister-designate Minister-designate PROPN NNP Number=Sing 5 compound _ _
5 Justin Justin PROPN NNP Number=Sing 6 compound _ _
6 Trudeau Trudeau PROPN NNP Number=Sing 18 nsubj _ _
7 , , PUNCT , _ 6 punct _ _
8 who who PRON WP PronType=Rel 9 nsubj _ _
9 came come VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 6 acl:relcl _ _
10 from from ADP IN _ 9 obl _ _
11 behind behind ADP IN _ 10 case _ _
12 to to ADP IN _ 16 case _ _
13 oust oust ADV RB _ 16 advmod _ _
14 the the DET DT Definite=Def|PronType=Art 16 det _ _
15 ruling ruling VERB VBG VerbForm=Ger 16 amod _ _
16 Conservatives conservatife NOUN NNS Number=Plur 9 obl _ _
17 , , PUNCT , _ 18 punct _ _
18 said say VERB VBN Tense=Past|VerbForm=Part 0 root _ _
19 he he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 21 nsubj _ _
20 has have AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 21 aux _ _
21 told tell VERB VBN Tense=Past|VerbForm=Part 18 ccomp _ _
22 US US PROPN NNP Number=Sing 23 compound _ _
23 President President PROPN NNP Number=Sing 21 obj _ _
24 Barack Barack PROPN NNP Number=Sing 23 flat _ _
25 Obama Obama PROPN NNP Number=Sing 23 flat _ _
26 that that SCONJ IN _ 29 mark _ _
27 Canada Canada PROPN NNP Number=Sing 29 nsubj _ _
28 will will AUX MD VerbForm=Fin 29 aux _ _
29 pull pull VERB VB VerbForm=Inf 21 ccomp _ _
30 out out ADP IN _ 29 compound:prt _ _
31 of of ADP IN _ 35 case _ _
32 the the DET DT Definite=Def|PronType=Art 35 det _ _
33 coalition coalition NOUN NN Number=Sing 35 compound _ _
34 bombing bombing NOUN NN Number=Sing 35 compound _ _
35 mission mission NOUN NN Number=Sing 29 obl _ _
36 against against ADP IN _ 39 case _ _
37 the the DET DT Definite=Def|PronType=Art 39 det _ _
38 Islamic Islamic PROPN NNP Number=Sing 39 compound _ _
39 State State PROPN NNP Number=Sing 35 nmod _ _
40 , , PUNCT , _ 42 punct _ _
41 but but CCONJ CC _ 42 cc _ _
42 maintain maintain VERB VB VerbForm=Inf 18 conj _ _
43 humanitarian humanitarian ADJ JJ Degree=Pos 44 amod _ _
44 aid aid NOUN NN Number=Sing 42 obj _ _
45 and and CCONJ CC _ 46 cc _ _
46 training training NOUN NN Number=Sing 44 conj _ _
47 . . PUNCT . _ 18 punct _ _
</Parse></Sentence>
The text was updated successfully, but these errors were encountered:
The following records all cause a crash on
File "/UniversalPetrarch/PETRgraph.py", line 1544, in get_verb_code
lowermatch = match_lower(patternDictPath, verb, target)
File "/UniversalPetrarch/PETRgraph.py", line 1424, in match_lower
temptargetmatch = match_noun(path, np)
File "/UniversalPetrarch/PETRgraph.py", line 1246, in match_noun
if np.npIDs[0] == noun_phrase.npIDs[1]:
IndexError: list index out of range
The only way I can bypass them is eliminating the primary verb (e.g. TALK, STRIKE, MEET, CAME) rather than a pattern but it looks like what they have in common is an ADP (WITH, FROM) linked immediately to that verb.
The text was updated successfully, but these errors were encountered: