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20112026
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 2.8k across the 100 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL2019

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile

Hainan Zhang, Yanyan Lan, Jiafeng Guo +2

Chinese input recommendation plays an important role in alleviating human cost in typing Chinese words, especially in the scenario of mobile applications. The fundamental problem i…

cs.CL2019★ 9 cited

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

Hainan Zhang, Yanyan Lan, Liang Pang +2

In multi-turn dialogue generation, response is usually related with only a few contexts. Therefore, an ideal model should be able to detect these relevant contexts and produce a su…

cs.CL2019★ 5 cited

Outline Generation: Understanding the Inherent Content Structure of Documents

Ruqing Zhang, Jiafeng Guo, Yixing Fan +2

In this paper, we introduce and tackle the Outline Generation (OG) task, which aims to unveil the inherent content structure of a multi-paragraph document by identifying its potent…

cs.IR2019★ 44 cited

MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching

Jiafeng Guo, Yixing Fan, Xiang Ji +1

Text matching is the core problem in many natural language processing (NLP) tasks, such as information retrieval, question answering, and conversation. Recently, deep leaning techn…

cs.IR2019★ 8 cited

Controlling Risk of Web Question Answering

Lixin Su, Jiafeng Guo, Yixing Fan +2

Web question answering (QA) has become an indispensable component in modern search systems, which can significantly improve users' search experience by providing a direct answer to…

cs.IR2019★ 13 cited

A Deep Look into Neural Ranking Models for Information Retrieval

Jiafeng Guo, Yixing Fan, Liang Pang +6

Ranking models lie at the heart of research on information retrieval (IR). During the past decades, different techniques have been proposed for constructing ranking models, from tr…