TAILIEUCHUNG - Báo cáo khoa học: "Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution"

We approach the zero-anaphora resolution problem by decomposing it into intra-sentential and inter-sentential zeroanaphora resolution. For the former problem, syntactic patterns of the appearance of zero-pronouns and their antecedents are useful clues. Taking Japanese as a target language, we empirically demonstrate that incorporating rich syntactic pattern features in a state-of-the-art learning-based anaphora resolution model dramatically improves the accuracy of intra-sentential zero-anaphora, which consequently improves the overall performance of zeroanaphora resolution. . | Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution Ryu Iida Kentaro Inui and Yuji Matsumoto Graduate School of Information Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0192 Japan ryu-i inui matsu @ Abstract We approach the zero-anaphora resolution problem by decomposing it into intra-sentential and inter-sentential zeroanaphora resolution. For the former problem syntactic patterns of the appearance of zero-pronouns and their antecedents are useful clues. Taking Japanese as a target language we empirically demonstrate that incorporating rich syntactic pattern features in a state-of-the-art learning-based anaphora resolution model dramatically improves the accuracy of intra-sentential zero-anaphora which consequently improves the overall performance of zeroanaphora resolution. 1 Introduction Zero-anaphora is a gap in a sentence that has an anaphoric function similar to a pro-form . pronoun and is often described as referring back to an expression that supplies the information necessary for interpreting the sentence. For example in the sentence There are two roads to eternity a straight and narrow and a broad and crooked the gaps in a straight and narrow gap and a broad and crooked gap have a zero-anaphoric relationship to two roads to eternity. The task of identifying zero-anaphoric relations in a given discourse zero-anaphora resolution is essential in a wide range of NLP applications. This is the case particularly in such a language as Japanese where even obligatory arguments of a predicate are often omitted when they are inferable from the context. In fact in our Japanese newspaper corpus for example of the nominative arguments of verbs are omitted. Since such gaps can not be interpreted only by shallow syntactic parsing a model specialized for zero-anaphora resolution needs to be devised on the top of shallow syntactic and semantic processing. Recent work on zero-anaphora resolution can be .

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