摘要
This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumen-tive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.
| 源语言 | 英语 |
|---|---|
| 期刊 | CEUR Workshop Proceedings |
| 卷 | 2125 |
| 出版状态 | 已出版 - 2018 |
| 活动 | 19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018 - Avignon, 法国 期限: 10 9月 2018 → 14 9月 2018 |
学术指纹
探究 'ECNU at MC2 2018 Task 2: Mining opinion argumentation' 的科研主题。它们共同构成独一无二的学术指纹。引用此
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver