Abstract
This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallelism of a candidate coordinate structure using syntactic/semantic similarities and cooccurrence statistics. We integrate these probabilities into the framework of fully-lexicalized parsing based on large-scale case frames. This approach simultaneously addresses two tasks of coordination disambiguation: the detection of coordinate conjunctions and the scope disambiguation of coordinate structures. Experimental results on web sentences indicate the effectiveness of our approach.
| Original language | English |
|---|---|
| Pages | 306-314 |
| Number of pages | 9 |
| Publication status | Published - Dec 1 2007 |
| Event | 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007 - Prague, Czech Republic Duration: Jun 28 2007 → Jun 28 2007 |
Other
| Other | 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 6/28/07 → 6/28/07 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Science Applications
- Information Systems
- Artificial Intelligence
- Human-Computer Interaction
- Linguistics and Language
Cite this
Probabilistic coordination disambiguation in a fully-lexicalized Japanese parser. / Kawahara, Daisuke; Kurohashi, Sadao.
2007. 306-314 Paper presented at 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007, Prague, Czech Republic.Research output: Contribution to conference › Paper
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TY - CONF
T1 - Probabilistic coordination disambiguation in a fully-lexicalized Japanese parser
AU - Kawahara, Daisuke
AU - Kurohashi, Sadao
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallelism of a candidate coordinate structure using syntactic/semantic similarities and cooccurrence statistics. We integrate these probabilities into the framework of fully-lexicalized parsing based on large-scale case frames. This approach simultaneously addresses two tasks of coordination disambiguation: the detection of coordinate conjunctions and the scope disambiguation of coordinate structures. Experimental results on web sentences indicate the effectiveness of our approach.
AB - This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallelism of a candidate coordinate structure using syntactic/semantic similarities and cooccurrence statistics. We integrate these probabilities into the framework of fully-lexicalized parsing based on large-scale case frames. This approach simultaneously addresses two tasks of coordination disambiguation: the detection of coordinate conjunctions and the scope disambiguation of coordinate structures. Experimental results on web sentences indicate the effectiveness of our approach.
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M3 - Paper
AN - SCOPUS:77952990361
SP - 306
EP - 314
ER -