Neural relevance-aware query modeling for spoken document retrieval

Tien Hong Lo, Ying Wen Chen, Kuan Yu Chen, Hsin Min Wang, Berlin Chen

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

Spoken document retrieval (SDR) is becoming a much-needed application due to that unprecedented volumes of audio-visual media have been made available in our daily life. As far as we are aware, most of the wide variety of SDR methods mainly focus on exploring robust indexing and effective retrieval methods to quantify the relevance degree between a pair of query and document. However, similar to information retrieval (IR), a fundamental challenge facing SDR is that a query is usually too short to convey a user's information need, such that a retrieval system cannot always achieve prospective efficacy when with the existing retrieval methods. In order to further boost retrieval performance, several studies turn their attention to reformulating the original query by leveraging an online pseudo-relevance feedback (PRF) process, which often comes at the price of taking significant time. Motivated by these observations, this paper presents a novel extension of the general line of SDR research and its contribution is at least two-fold. First, building on neural network-based techniques, we put forward a neural relevance-aware query modeling (NRM) framework, which is designed to not only infer a discriminative query language model automatically for a given query, but also get around the time-consuming PRF process. Second, the utility of the methods instantiated from our proposed framework and several widely-used retrieval methods are extensively analyzed and compared on a standard SDR task, which suggests the superiority of our methods.

原文英語
主出版物標題2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面466-473
頁數8
ISBN(電子)9781509047888
DOIs
出版狀態已發佈 - 2018 一月 24
事件2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Okinawa, 日本
持續時間: 2017 十二月 162017 十二月 20

出版系列

名字2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings
2018-January

會議

會議2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017
國家日本
城市Okinawa
期間2017/12/162017/12/20

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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