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http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16367| Title: | Anaphora Resolution from Social Media Text |
| Authors: | Sharma, Yashvardhan |
| Keywords: | Computer Science Co-reference Resolution Anaphora Resolution Natural Language Processing (NLP) Neural Co-reference |
| Issue Date: | 2022 |
| 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 |
| URI: | https://ceur-ws.org/Vol-3395/T3-2.pdf http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16367 |
| Appears in Collections: | Department of Computer Science and Information Systems |
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