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Pronoun Resolution in Unrestricted Text
Nordic Journal of Linguistics, 1988Quantitative and qualitative studies of referential relations in unrestricted natural text are necessary both for a better theoretical understanding of referential processes, and for the development of empirically well-founded algorithms for anaphora resolution in the framework of natural language processing (NLP) systems. The aim of the study reported
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A Machine Learning Approach to Portuguese Pronoun Resolution
2009Anaphora resolution is an essential component of most NLP applications, from text understanding to Machine Translation. In this work we discuss a supervised machine learning approach to the problem, focusing on instances of anaphora ubiquitously found in a corpus of Brazilian Portuguese texts, namely, third-person pronominal references.
Ramon Ré Moya Cuevas, Ivandré Paraboni
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Machine reading comprehension combined with semantic dependency for Chinese zero pronoun resolution
Artificial Intelligence Review, 2022Xinliang Liu +2 more
exaly
Chinese Zero Pronoun Resolution
ACM Transactions on Asian and Low-Resource Language Information Processing, 2020Fang Kong, Guodong Zhou, Zhangmin
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The role of the antecedent in pronoun resolution
2003[Boston] 16th CUNY conference on human sentence processing, 29 maart ...
Lamers, M.J.A. +3 more
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A ranking approach to pronoun resolution [PDF]
Pascal Denis, Jason Baldridge
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VD-PCR: Improving visual dialog with pronoun coreference resolution
Pattern Recognition, 2022Xintong Yu +2 more
exaly

