Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Song, Hwanjun | ko |
| dc.contributor.author | Shalyminov, Igor | ko |
| dc.contributor.author | Su, Hang | ko |
| dc.contributor.author | Siffi, Singh | ko |
| dc.contributor.author | Yao, Kaisheng | ko |
| dc.contributor.author | Mansour, Saab | ko |
| dc.date.accessioned | 2023-12-29T02:00:15Z | - |
| dc.date.available | 2023-12-29T02:00:15Z | - |
| dc.date.created | 2023-12-22 | - |
| dc.date.issued | 2023-12-10 | - |
| dc.identifier.citation | The 2023 Conference on Empirical Methods in Natural Language Processing | - |
| dc.identifier.uri | http://hdl.handle.net/10203/317082 | - |
| dc.language | English | - |
| dc.publisher | Empirical Methods in Natural Language Processing (EMNLP) | - |
| dc.title | Enhancing Abstractiveness of Summarization Models through Calibrated Distillation | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | The 2023 Conference on Empirical Methods in Natural Language Processing | - |
| dc.identifier.conferencecountry | SI | - |
| dc.identifier.conferencelocation | Resorts World Convention Centre, Singapore | - |
| dc.contributor.localauthor | Song, Hwanjun | - |
| dc.contributor.nonIdAuthor | Shalyminov, Igor | - |
| dc.contributor.nonIdAuthor | Su, Hang | - |
| dc.contributor.nonIdAuthor | Siffi, Singh | - |
| dc.contributor.nonIdAuthor | Yao, Kaisheng | - |
| dc.contributor.nonIdAuthor | Mansour, Saab | - |
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