Textual Summarisation of Large Sets: Towards a General Approach
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866913198796439552 |
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| author | Kuptavanich, Kittipitch Reiter, Ehud Van Deemter, Kees Siddharthan, Advaith |
| author_facet | Kuptavanich, Kittipitch Reiter, Ehud Van Deemter, Kees Siddharthan, Advaith |
| contents | We are developing techniques to generate summary descriptions of sets of objects. In this paper, we present and evaluate a rule-based NLG technique for summarising sets of bibliographical references in academic papers. This extends our previous work on summarising sets of consumer products and shows how our model generalises across these two very different domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09041 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Textual Summarisation of Large Sets: Towards a General Approach Kuptavanich, Kittipitch Reiter, Ehud Van Deemter, Kees Siddharthan, Advaith Computation and Language We are developing techniques to generate summary descriptions of sets of objects. In this paper, we present and evaluate a rule-based NLG technique for summarising sets of bibliographical references in academic papers. This extends our previous work on summarising sets of consumer products and shows how our model generalises across these two very different domains. |
| title | Textual Summarisation of Large Sets: Towards a General Approach |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2401.09041 |