Having an issue with coreference resolution and am wondering if it is my problem or just something that it can't handle. Best to note still using OpenNLP 1.3.
For the sentence: 'When Jim studied in the Sweet Shop for his chemistry exam, it was very noisy.'
It can from the sentence identify the mapping/reference between (Jim & His) but not (it & the Sweet Shop).
I have tried it through the implementations contained within 'main' of the TreebankLinker and still have the same output.
I think this is a case where its hard for the coreference component to distinguish this "it" from a pleonastic one because the adjective, noisy, is pushed out of the 5-word feature window by the adverb "very".
… noisy
look identical to:
… sunny
So this is just a hard example for the model but not a bug.
Hope this helps…Tom
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Hi,
Having an issue with coreference resolution and am wondering if it is my problem or just something that it can't handle. Best to note still using OpenNLP 1.3.
For the sentence: 'When Jim studied in the Sweet Shop for his chemistry exam, it was very noisy.'
It can from the sentence identify the mapping/reference between (Jim & His) but not (it & the Sweet Shop).
I have tried it through the implementations contained within 'main' of the TreebankLinker and still have the same output.
Linker Input: (TOP (S (SBAR (WHADVP (WRB When)) (S (NP (NNP Jim)) (VP (VBD studied) (PP (IN in) (NP (DT the) (NNP Sweet) (NNP Shop))) (PP (IN for) (NP (PRP$ his) (NN chemistry) (NN quiz)))))) (, ,) (NP (PRP it)) (VP (VBD was) (ADJP (RB very) (JJ noisy))) (. .)))
Linker Output: (TOP (S (SBAR (WHADVP (WRB When)) (S (NP#1 (NNP Jim)) (VP (VBD studied) (PP (IN in) (NP (DT the) (NNP Sweet) (NNP Shop))) (PP (IN for) (NP (NML#1 (PRP$ his)) (NN chemistry) (NN quiz)))))) (, ,) (NP (PRP it)) (VP (VBD was) (ADJP (RB very) (JJ noisy))) (. .)) )
TIA
mark
Hi,
I think this is a case where its hard for the coreference component to distinguish this "it" from a pleonastic one because the adjective, noisy, is pushed out of the 5-word feature window by the adverb "very".
… noisy
look identical to:
… sunny
So this is just a hard example for the model but not a bug.
Hope this helps…Tom