• Title/Summary/Keyword: anaphoricity

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Presupposition and Anaphoricity

  • Song, Jaegyun
    • Korean Journal of English Language and Linguistics
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    • v.1 no.3
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    • pp.457-476
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    • 2001
  • This paper is to reconsider the relation between presupposition and anaphoricity. My proposal goes as follows: First, the anaphoricity view of presupposition is problematic in that it heavily relies on accommodated antecedents, and this will end up depriving the view of much of its content. So, it is suggest that accommodation should be taken as a mechanism to add presupposed new information to the context, like an asserted proposition. Next, I show that, between two prominent theories of presupposition projection, both of which commit themselves to the anaphoricity view, van der Sandt's theory is quite compatible with the revised view of accommodation, but Heim's theory isn't, because anaphoricity is at the heart of its projection mechanism. Finally, I suggest that unaccommodatable presuppositions should be explained not by the properties of presupposition itself, but by the lexical properties of presupposition triggers.

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Anaphoricity Determination of Zero Pronouns for Intra-sentential Zero Anaphora Resolution (문장 내 영 조응어 해석을 위한 영대명사의 조응성 결정)

  • Kim, Kye-Sung;Park, Seong-Bae;Park, Se-Young;Lee, Sang-Jo
    • Journal of KIISE:Software and Applications
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    • v.37 no.12
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    • pp.928-935
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    • 2010
  • Identifying the referents of omitted elements in a text is an important task to many natural language processing applications such as machine translation, information extraction and so on. These omitted elements are often called zero anaphors or zero pronouns, and are regarded as one of the most common forms of reference. However, since all zero elements do not refer to explicit objects which occur in the same text, recent work on zero anaphora resolution have attempted to identify the anaphoricity of zero pronouns. This paper focuses on intra-sentential anaphoricity determination of subject zero pronouns that frequently occur in Korean. Unlike previous studies on pair-wise comparisons, this study attempts to determine the intra-sentential anaphoricity of zero pronouns by learning directly the structure of clauses in which either non-anaphoric or inter-sentential subject zero pronouns occur. The proposed method outperforms baseline methods, and anaphoricity determination of zero pronouns will play an important role in resolving zero anaphora.

Antecedent Identification of Zero Subjects using Anaphoricity Information and Centering Theory (조응성 정보와 중심화 이론에 기반한 영형 주어의 선행사 식별)

  • Kim, Kye-Sung;Park, Seong-Bae;Lee, Sang-Jo
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.12
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    • pp.873-880
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    • 2013
  • This paper approaches the problem of resolving Korean zero pronouns using Centering Theory modeling local coherence. Centering Theory has been widely used to resolve English pronouns. However, it is much difficult to apply the centering framework for zero pronoun resolution in languages such as Japanese and Korean. Since in particular the use of non-anaphoric zero pronouns without explicit antecedents is not considered in the Centering Theory of Grosz et al., the presence of non-anaphoric cases negatively affects the performance of the resolution system based on Centering Theory. To overcome this, this paper presents a method which determines the intra-sentential anaphoricity of zero pronouns in subject position by using relationships between clauses, and then identifies antecedents of zero subjects. In our experiments, the proposed method outperforms the baseline method relying solely on Centering Theory.

Distinguishing Referential Expression 'Geot' Using Decision Tree (결정 트리를 이용한 지시 표현 '것'의 구별)

  • Jo, Eun-Kyoung;Kim, Hark-Soo;Seo, Jung-Yun
    • Journal of KIISE:Software and Applications
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    • v.34 no.9
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    • pp.880-888
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    • 2007
  • Referential expression 'Geot' is often occurred in Korean dialogues. However, it has not been properly dealt with by the previous researchers of reference resolution, since it is not by itself the referential expression like pronoun and definite noun phrases, and it has never been discriminated from non-referring 'geot'. To resolve this problem, we establish a feature set which is based on the linguistic property of 'geot' and the discourse property of its text, and propose a method to identify referential 'geot' from non-referring 'geot' using decision tree. In the experiment, our system achieved the F-measures of 92.3% for non-referring geot and of 82.2% for referential geot and the total classification performance of 89.27%, and outperformed the classification system based on pattern rules.