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20152024
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 1.2k across the 27 of their papers we have counts for

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11 papers · 1 filter

cs.CL2022

CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction

Yequan Wang, Xiang Li, Aixin Sun +3

Quotation extraction aims to extract quotations from written text. There are three components in a quotation: source refers to the holder of the quotation, cue is the trigger word(…

cs.CL202263 cited

GERE: Generative Evidence Retrieval for Fact Verification

Jiangui Chen, Ruqing Zhang, Jiafeng Guo +2

Fact verification (FV) is a challenging task which aims to verify a claim using multiple evidential sentences from trustworthy corpora, e.g., Wikipedia. Most existing approaches fo…

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.CL20199 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.CL20195 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.CL20196 cited

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

Liang Pang, Yanyan Lan, Jiafeng Guo +3

This paper is concerned with open-domain question answering (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied…