抜粋
We propose a new method for query-oriented extractive multi-document summarization. To enrich the information need representation of a given query, we build a co-occurrence graph to obtain words that augment the original query terms. We then formulate the summarization problem as a Maximum Coverage Problem with Knapsack Constraints based on word pairs rather than single words. Our experiments with the NTCIR ACLIA question answering test collections show that our method achieves a pyramid F3-score of up to 0.313, a 36% improvement over a baseline using Maximal Marginal Relevance.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics |
| ホスト出版物のサブタイトル | Human Language Technologies |
| ページ | 223-229 |
| ページ数 | 7 |
| 出版物ステータス | Published - 2011 12 1 |
| 外部発表 | Yes |
| イベント | 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Portland, OR, United States 継続期間: 2011 6 19 → 2011 6 24 |
出版物シリーズ
| 名前 | ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies |
|---|---|
| 巻 | 2 |
Conference
| Conference | 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 |
|---|---|
| 国 | United States |
| 市 | Portland, OR |
| 期間 | 11/6/19 → 11/6/24 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
フィンガープリント Query snowball: A co-occurrence-based approach to multi-document summarization for question answering' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。
これを引用
Morita, H., Sakai, T., & Okumura, M. (2011). Query snowball: A co-occurrence-based approach to multi-document summarization for question answering. ： ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 223-229). (ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies; 巻数 2).