Abstract
Scientific papers revolve around citations, and for many discourse level tasks one needs to know whose work is being talked about at any point in the discourse. In this paper, we introduce the scientific attribution task, which links different linguistic expressions to citations. We discuss the suitability of different evaluation metrics and evaluate our classification approach to deciding attribution both intrinsicallyand in an extrinsic evaluation where information about scientific attribution is shown to improve performance on Argumentative Zoning, a rhetorical classification task.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007) |
| Place of Publication | Morristown, NJ, USA |
| Publisher | ACL |
| Pages | 316-323 |
| Number of pages | 8 |
| Publication status | Published - 2007 |
| Event | Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007) - Rochester, New York, United States Duration: 22 Apr 2007 → 27 Apr 2007 |
Conference
| Conference | Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007) |
|---|---|
| Country/Territory | United States |
| City | Rochester, New York |
| Period | 22/04/07 → 27/04/07 |
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