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Pronoun Resolution in Unrestricted Text

Nordic Journal of Linguistics, 1988
Quantitative 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

2009
Anaphora 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, 2022
Xinliang Liu   +2 more
exaly  

Chinese Zero Pronoun Resolution

ACM Transactions on Asian and Low-Resource Language Information Processing, 2020
Fang Kong, Guodong Zhou, Zhangmin
exaly   +2 more sources

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
openaire   +1 more source

Pronoun Resolution in Amnesia

2019
Kurczek, Jake   +3 more
openaire   +1 more source

VD-PCR: Improving visual dialog with pronoun coreference resolution

Pattern Recognition, 2022
Xintong Yu   +2 more
exaly  

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