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Trying to train a treebank against ud-treebanks-v2.3/UD_English-EWT/en_ewt-ud-dev.conllu and I've noticed that all rows that have a head field with the value _ panic.
Any ideas on how to deal with this data within the library? Happy to submit a PR on any advice given.
# sent_id = answers-20111108072305AAPJTjj_ans-0005
# text = It's more compact, ISO 6400 capability (SX40 only 3200), faster lens at f/2 and the SX40 only f/2.7.
1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 4 nsubj 4:nsubj SpaceAfter=No
2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 cop 4:cop _
3 more more ADV RBR _ 4 advmod 4:advmod _
4 compact compact ADJ JJ Degree=Pos 0 root 0:root SpaceAfter=No
5 , , PUNCT , _ 8 punct 8:punct _
6 ISO iso NOUN NN Number=Sing 8 compound 8:compound _
7 6400 6400 NUM CD NumType=Card 6 nummod 6:nummod _
8 capability capability NOUN NN Number=Sing 4 list 4:list _
9 ( ( PUNCT -LRB- _ 10 punct 10:punct|10.1:punct SpaceAfter=No
10 SX40 SX40 PROPN NNP Number=Sing 8 parataxis 8:parataxis|10.1:nsubj _
#dies on the following line
10.1 has have VERB VBZ _ _ _ 8:parataxis CopyOf=-1
11 only only ADV RB _ 12 advmod 12:advmod _
12 3200 3200 NUM CD NumType=Card 10 orphan 10.1:obj SpaceAfter=No
13 ) ) PUNCT -RRB- _ 10 punct 10:punct|10.1:punct SpaceAfter=No
14 , , PUNCT , _ 8 punct 8:punct _
15 faster faster ADJ JJR Degree=Cmp 16 amod 16:amod _
16 lens lens NOUN NN Number=Sing 4 list 4:list _
17 at at ADP IN _ 18 case 18:case _
18 f/2 f/2 NOUN NN Number=Sing 16 nmod 16:nmod:at _
19 and and CCONJ CC _ 21 cc 21:cc|21.1:cc _
20 the the DET DT Definite=Def|PronType=Art 21 det 21:det _
21 SX40 SX40 PROPN NNP Number=Sing 16 conj 16:conj:and|21.1:nsubj _
21.1 has have VERB VBZ _ _ _ 16:conj:and CopyOf=-1
22 only only ADJ JJ Degree=Pos 23 amod 23:amod _
23 f f NOUN NN Number=Sing 21 orphan 21.1:obj SpaceAfter=No
24 / / PUNCT , _ 23 punct 23:punct SpaceAfter=No
25 2.7 2.7 NUM CD NumType=Card 23 nummod 23:nummod SpaceAfter=No
26 . . PUNCT . _ 4 punct 4:punct _```
The text was updated successfully, but these errors were encountered:
Trying to train a treebank against
ud-treebanks-v2.3/UD_English-EWT/en_ewt-ud-dev.conllu
and I've noticed that all rows that have a head field with the value_
panic.Any ideas on how to deal with this data within the library? Happy to submit a PR on any advice given.
The text was updated successfully, but these errors were encountered: