Abstract
To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extractive oracle summaries in terms of ROUGEn. We also propose an algorithm that enumerates all of the oracle summaries for a set of reference summaries to exploit F-measures that evaluate which system summaries contain how many sentences that are extracted as an oracle summary. Our experimental results obtained from Document Understanding Conference (DUC) corpora demonstrated the following: (1) room still exists to improve the performance of extractive summarization; (2) the F-measures derived from the enumerated oracle summaries have significantly stronger correlations with human judgment than those derived from single oracle summaries.
| Original language | English |
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| Title of host publication | Long Papers |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 386-396 |
| Number of pages | 11 |
| Volume | 1 |
| ISBN (Electronic) | 9781510838604 |
| Publication status | Published - 2017 Jan 1 |
| Externally published | Yes |
| Event | 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain Duration: 2017 Apr 3 → 2017 Apr 7 |
Other
| Other | 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 |
|---|---|
| Country | Spain |
| City | Valencia |
| Period | 17/4/3 → 17/4/7 |
ASJC Scopus subject areas
- Linguistics and Language
- Language and Linguistics