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THUIR at the NTCIR-14 WWW-2 Task

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NII Testbeds and Community for Information Access Research (NTCIR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11966))

Abstract

The THUIR team participated in both Chinese and English subtasks of the NTCIR-14 We Want Web-2 (WWW-2) task. This paper describes our approaches and results in the WWW-2 task. In the Chinese subtask, we designed and trained two neural ranking models on the Sogou-QCL dataset. In the English subtask, we adopted learning to rank models by training them on MQ2007 and MQ2008 datasets. Our methods achieved the best performances in both Chinese and English subtasks. Through further analysis of results, we find that our neural models can achieve better performances in all navigational, informational and transactional queries in Chinese subtask. In the English subtask, the learning-to-rank methods have stronger modeling capabilities than BM25 by learning from effective hand-crafted features.

This work is supported by the National Key Research and Development Program of China (2018YFC0831700) and Natural Science Foundation of China (Grant No. 61622208, 61732008, 61532011).

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Notes

  1. 1.

    https://github.com/zhengyk11/WWW2_THUIR_Runs.

  2. 2.

    http://download.wikipedia.com/zhwiki.

  3. 3.

    https://github.com/pytorch/pytorch.

  4. 4.

    https://www.nltk.org/.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Institute for Artificial Intelligence, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Yukun Zheng, Zhumin Chu, Xiangsheng Li, Jiaxin Mao, Yiqun Liu, Min Zhang & Shaoping Ma

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  1. Yukun Zheng
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  2. Zhumin Chu
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  3. Xiangsheng Li
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  4. Jiaxin Mao
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  5. Yiqun Liu
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  6. Min Zhang
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  7. Shaoping Ma
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Corresponding author

Correspondence to Yiqun Liu .

Editor information

Editors and Affiliations

  1. University of Tsukuba, Tsukuba, Japan

    Makoto P. Kato

  2. Tsinghua University, Beijing, China

    Yiqun Liu

  3. National Institute of Informatics (NII), Tokyo, Japan

    Noriko Kando

  4. University of Waterloo, Waterloo, ON, Canada

    Charles L. A. Clarke

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Zheng, Y. et al. (2019). THUIR at the NTCIR-14 WWW-2 Task. In: Kato, M., Liu, Y., Kando, N., Clarke, C. (eds) NII Testbeds and Community for Information Access Research. NTCIR 2019. Lecture Notes in Computer Science(), vol 11966. Springer, Cham. https://doi.org/10.1007/978-3-030-36805-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-36805-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36804-3

  • Online ISBN: 978-3-030-36805-0

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