8 Result(s)

Article

ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation

Human–computer conversation is an active research topic in natural language processing. One of the representative methods to build conversation systems uses the sequence-to-sequence (Seq2seq) model through neu...

Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen in Information Retrieval Journal (2020)

Article

Constructing click models for search users

Yiqun Liu, Jian-Yun Nie, Yi Chang in Information Retrieval Journal (2017)

Article

Enhancing click models with mouse movement information

User interactions in Web search, in particular, clicks, provide valuable hints on document relevance; but the signals are very noisy. In order to better understand user click behaviors and to infer the implied...

Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu… in Information Retrieval Journal (2017)

Article

Enhancing web search with queries of equivalent intents

Users often issue all kinds of queries to look for the same target due to the intrinsic ambiguity and flexibility of natural languages. Some previous work clusters queries based on co-clicks; however, the inte...

Ruihua Song, Dingquan Wang, Jian-Yun Nie, Ji-Rong Wen… in Information Retrieval Journal (2016)

Article

UniClip: Leveraging Web Search for Universal Clip** of Articles on Mobile

In this paper we address the difficulty of clip** articles from mobile apps. We propose a service called UniClip that allows a user to save the full content of an article by snap** a screenshot part of it....

Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, **ng **e… in Data Science and Engineering (2016)

Article

Latent word context model for information retrieval

The application of word sense disambiguation (WSD) techniques to information retrieval (IR) has yet to provide convincing retrieval results. Major obstacles to effective WSD in IR include coverage and granular...

Bernard Brosseau-Villeneuve, Jian-Yun Nie, Noriko Kando in Information Retrieval (2014)

Article

Combining classifiers for robust PICO element detection

Formulating a clinical information need in terms of the four atomic parts which are Population/Problem, Intervention, Comparison and Outcome (known as PICO elements) facilitates searching for a precise answer ...

Florian Boudin, Jian-Yun Nie… in BMC Medical Informatics and Decision Making (2010)