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        <title>Extracting Representative Arguments from Dictionaries for Resolving Zero Pronouns</title>
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        <namePart type="given">Shigeko</namePart>
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    <name type="personal">
        <namePart type="given">Takaaki</namePart>
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    <name type="personal">
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    <abstract>We propose a method to alleviate the problem of referential granularity for Japanese zero pronoun resolution. We use dictionary definition sentences to extract ‘representative’ arguments of predicative definition words; e.g. ‘arrest’ is likely to take police as the subject and criminal as its object. These representative arguments are far more informative than ‘person’ that is provided by other valency dictionaries. They are auto-extracted using both Shallow parsing and Deep parsing for greater quality and quantity. Initial results are highly promising, obtaining more specific information about selectional preferences. An architecture of zero pronoun resolution using these representative arguments is described.</abstract>
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%0 Conference Proceedings
%T Extracting Representative Arguments from Dictionaries for Resolving Zero Pronouns
%A Nariyama, Shigeko
%A Nichols, Eric
%A Bond, Francis
%A Tanaka, Takaaki
%A Nakaiwa, Hiromi
%S Proceedings of Machine Translation Summit X: Papers
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F nariyama-etal-2005-extracting
%X We propose a method to alleviate the problem of referential granularity for Japanese zero pronoun resolution. We use dictionary definition sentences to extract ‘representative’ arguments of predicative definition words; e.g. ‘arrest’ is likely to take police as the subject and criminal as its object. These representative arguments are far more informative than ‘person’ that is provided by other valency dictionaries. They are auto-extracted using both Shallow parsing and Deep parsing for greater quality and quantity. Initial results are highly promising, obtaining more specific information about selectional preferences. An architecture of zero pronoun resolution using these representative arguments is described.
%U https://aclanthology.org/2005.mtsummit-papers.1
%P 3-10

Markdown (Informal)

[Extracting Representative Arguments from Dictionaries for Resolving Zero Pronouns](https://aclanthology.org/2005.mtsummit-papers.1) (Nariyama et al., MTSummit 2005)

• Extracting Representative Arguments from Dictionaries for Resolving Zero Pronouns (Nariyama et al., MTSummit 2005)

ACL

• Shigeko Nariyama, Eric Nichols, Francis Bond, Takaaki Tanaka, and Hiromi Nakaiwa. 2005. Extracting Representative Arguments from Dictionaries for Resolving Zero Pronouns. In Proceedings of Machine Translation Summit X: Papers, pages 3–10, Phuket, Thailand.