Attitude detection for one-round conversation: Jointly extracting target-polarity pairs

Zhaohao Zeng, Pingping Lin, Ruihua Song, Tetsuya Sakai

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

We tackle Attitude Detection, which we define as the task of extracting the replier's attitude, i.e., a target-polarity pair, from a given one-round conversation. While previous studies considered Target Extraction and Polarity Classification separately, we regard them as subtasks of Attitude Detection. Our experimental results show that treating the two subtasks independently is not the optimal solution for Attitude Detection, as achieving high performance in each subtask is not sufficient for obtaining correct target-polarity pairs. Our jointly trained model AD-NET substantially outperforms the separately trained models by alleviating the target-polarity mismatch problem. Moreover, we proposed a method utilising the attitude detection model to improve retrieval-based chatbots by re-ranking the response candidates with attitude features. Human evaluation indicates that with attitude detection integrated, the new responses to the sampled queries from are statistically significantly more consistent, coherent, engaging and informative than the original ones obtained from a commercial chatbot.

元の言語English
ホスト出版物のタイトルWSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining
出版者Association for Computing Machinery, Inc
ページ285-293
ページ数9
ISBN(電子版)9781450359405
DOI
出版物ステータスPublished - 2019 1 30
イベント12th ACM International Conference on Web Search and Data Mining, WSDM 2019 - Melbourne, Australia
継続期間: 2019 2 112019 2 15

出版物シリーズ

名前WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining

Conference

Conference12th ACM International Conference on Web Search and Data Mining, WSDM 2019
Australia
Melbourne
期間19/2/1119/2/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Computer Science Applications

これを引用

Zeng, Z., Lin, P., Song, R., & Sakai, T. (2019). Attitude detection for one-round conversation: Jointly extracting target-polarity pairs. : WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining (pp. 285-293). (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3289600.3291038