Anaphora Resolution from Social Media Text
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Date
2022
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Publisher
CEUR-WS
Abstract
Anaphora resolution for social media texts is essential yet difficult task for text understanding. An
important characteristic of anaphora is that it creates a connection between the antecedent and the
anaphor buried in the anaphoric sentence. This paper outlines the methods used to locate anaphora
and their antecedents in a particular text. The text is a social media tweet for the SocAnaRes-IL 2022
challenge that was part of FIRE 2022. The proposed model uses a Neural Co-reference Network for the
anaphora resolution
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Keywords
Computer Science, Co-reference Resolution, Anaphora Resolution, Natural Language Processing (NLP), Neural Co-reference