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 |
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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 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 6/28/07 → 6/28/07 |
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Science Applications
- Information Systems
- Artificial Intelligence
- Human-Computer Interaction
- Linguistics and Language