TY - GEN
T1 - Tense sense disambiguation
T2 - Conference on Empirical Methods in Natural Language Processing, EMNLP 2010
AU - Reichart, Roi
AU - Rappoport, Ari
PY - 2010
Y1 - 2010
N2 - Polysemy is a major characteristic of natural languages. Like words, syntactic forms can have several meanings. Understanding the correct meaning of a syntactic form is of great importance to many NLP applications. In this paper we address an important type of syntactic polysemy - the multiple possible senses of tense syntactic forms. We make our discussion concrete by introducing the task of Tense Sense Disambiguation (TSD): given a concrete tense syntactic form present in a sentence, select its appropriate sense among a set of possible senses. Using English grammar textbooks, we compiled a syntactic sense dictionary comprising common tense syntactic forms and semantic senses for each. We annotated thousands of BNC sentences using the defined senses. We describe a supervised TSD algorithm trained on these annotations, which outperforms a strong baseline for the task.
AB - Polysemy is a major characteristic of natural languages. Like words, syntactic forms can have several meanings. Understanding the correct meaning of a syntactic form is of great importance to many NLP applications. In this paper we address an important type of syntactic polysemy - the multiple possible senses of tense syntactic forms. We make our discussion concrete by introducing the task of Tense Sense Disambiguation (TSD): given a concrete tense syntactic form present in a sentence, select its appropriate sense among a set of possible senses. Using English grammar textbooks, we compiled a syntactic sense dictionary comprising common tense syntactic forms and semantic senses for each. We annotated thousands of BNC sentences using the defined senses. We describe a supervised TSD algorithm trained on these annotations, which outperforms a strong baseline for the task.
UR - http://www.scopus.com/inward/record.url?scp=80053292241&partnerID=8YFLogxK
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AN - SCOPUS:80053292241
SN - 1932432868
SN - 9781932432862
T3 - EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
SP - 325
EP - 334
BT - EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
Y2 - 9 October 2010 through 11 October 2010
ER -