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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...
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Article
Constructing click models for search users
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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...
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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...
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Article
Open AccessUniClip: 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....
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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...