Conference Publication Details
Mandatory Fields
Choudhary, C;O'Riordan, C
PROCEEDINGS OF THE 11TH ANNUAL MEETING OF THE FORUM FOR INFORMATION RETRIEVAL EVALUATION (FIRE 2019)
A CNN based approach to Phrase-Labelling through classification of N-Grams
2019
January
Published
1
()
Optional Fields
18
23
Modern approaches address the task of Phrase-labelling within any input sentence (eg: NER, Chunking etc.) as a variant of word-tagging problem. These approaches extract the desired phrases as word-sequences which are mapped to specific tag-sequences (with Begin, Intermediate and End tag-types).However we argue that basic nature of Phrase-labelling is not temporal but spatial in nature. Thus we propose and test the hypothesis that a CNN based model that directly extracts labelled n-grams from the input sentence would outperform standard RNN based model.
10.1145/3368567.3368571
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