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20052024
most citedRepBERT: Contextualized Text Embeddings for First-Stage Retrieval

59 citations · 105 across the 10 of their papers we have counts for

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Showing cs.IRShow all

6 papers · 1 filter

cs.IR2020★ 8 cited

THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment

Yunqiu Shao, Bulou Liu, Jiaxin Mao +3

In this paper, we present our methodologies for tackling the challenges of legal case retrieval and entailment in the Competition on Legal Information Extraction / Entailment 2020…

cs.IR2020★ 14 cited

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently

Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2

Ranking has always been one of the top concerns in information retrieval research. For decades, lexical matching signal has dominated the ad-hoc retrieval process, but it also has…

cs.IR2020★ 59 cited

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2

Although exact term match between queries and documents is the dominant method to perform first-stage retrieval, we propose a different approach, called RepBERT, to represent docum…

cs.IR2019★ 1 cited

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Weizhi Ma, Min Zhang, Yue Cao +6

Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation…

cs.IR2017

Why People Search for Images using Web Search Engines

Xiaohui Xie, Yiqun Liu, Maarten de Rijke +3

What are the intents or goals behind human interactions with image search engines? Knowing why people search for images is of major concern to Web image search engines because user…

cs.IR2005

The Nature of Novelty Detection

Le Zhao, Min Zhang, Shaoping Ma

Sentence level novelty detection aims at reducing redundant sentences from a sentence list. In the task, sentences appearing later in the list with no new meanings are eliminated.…