Microsoft Research Asia at NTCIR-12 STC Task
- Zhongxia Chen ,
- Ruihua Song ,
- Xing Xie
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, June 7-10, 2016 Tokyo Japan |
This paper describes our approaches at NTCIR-12 short text conversation (STC) task (Chinese). For a new post, instead of considering post-comment similarity, our system focus on finding similar posts in the repository and retrieve their corresponding comments. Meanwhile, we choose frequency property of comments to adjust ranking models. Our best run achieves 0.4854 for mean P+, 0.3367 for mean nDCG@1 and 0.4592 for mean nERR@10, which reaches the top tier in official STC results.