Learning Personas from Dialogue with Attentive Memory Networks
© 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. We introduce neural models to learn persona embeddings in a supervised character trope classif...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Association for Computational Linguistics (ACL)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137068 |
| _version_ | 1826204318825447424 |
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| author | Chu, Eric Vijayaraghavan, Prashanth Roy, Deb |
| author_facet | Chu, Eric Vijayaraghavan, Prashanth Roy, Deb |
| author_sort | Chu, Eric |
| collection | MIT |
| description | © 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. We introduce neural models to learn persona embeddings in a supervised character trope classification task. The models encode dialogue snippets from IMDB into representations that can capture the various categories of film characters. The best-performing models use a multi-level attention mechanism over a set of utterances. We also utilize prior knowledge in the form of textual descriptions of the different tropes. We apply the learned embeddings to find similar characters across different movies, and cluster movies according to the distribution of the embeddings. The use of short conversational text as input, and the ability to learn from prior knowledge using memory, suggests these methods could be applied to other domains. |
| first_indexed | 2024-09-23T12:52:44Z |
| format | Article |
| id | mit-1721.1/137068 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:52:44Z |
| publishDate | 2021 |
| publisher | Association for Computational Linguistics (ACL) |
| record_format | dspace |
| spelling | mit-1721.1/1370682021-11-03T03:21:29Z Learning Personas from Dialogue with Attentive Memory Networks Chu, Eric Vijayaraghavan, Prashanth Roy, Deb © 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. We introduce neural models to learn persona embeddings in a supervised character trope classification task. The models encode dialogue snippets from IMDB into representations that can capture the various categories of film characters. The best-performing models use a multi-level attention mechanism over a set of utterances. We also utilize prior knowledge in the form of textual descriptions of the different tropes. We apply the learned embeddings to find similar characters across different movies, and cluster movies according to the distribution of the embeddings. The use of short conversational text as input, and the ability to learn from prior knowledge using memory, suggests these methods could be applied to other domains. 2021-11-02T12:53:19Z 2021-11-02T12:53:19Z 2018 2021-07-01T16:49:30Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137068 Chu, Eric, Vijayaraghavan, Prashanth and Roy, Deb. 2018. "Learning Personas from Dialogue with Attentive Memory Networks." Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. en 10.18653/V1/D18-1284 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Association for Computational Linguistics (ACL) Association for Computational Linguistics |
| spellingShingle | Chu, Eric Vijayaraghavan, Prashanth Roy, Deb Learning Personas from Dialogue with Attentive Memory Networks |
| title | Learning Personas from Dialogue with Attentive Memory Networks |
| title_full | Learning Personas from Dialogue with Attentive Memory Networks |
| title_fullStr | Learning Personas from Dialogue with Attentive Memory Networks |
| title_full_unstemmed | Learning Personas from Dialogue with Attentive Memory Networks |
| title_short | Learning Personas from Dialogue with Attentive Memory Networks |
| title_sort | learning personas from dialogue with attentive memory networks |
| url | https://hdl.handle.net/1721.1/137068 |
| work_keys_str_mv | AT chueric learningpersonasfromdialoguewithattentivememorynetworks AT vijayaraghavanprashanth learningpersonasfromdialoguewithattentivememorynetworks AT roydeb learningpersonasfromdialoguewithattentivememorynetworks |