activity
20202026
most citedSemantic Models for the First-stage Retrieval: A Comprehensive Review

117 citations · 414 across the 107 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020

Transformation Driven Visual Reasoning

Xin Hong, Yanyan Lan, Liang Pang +2

This paper defines a new visual reasoning paradigm by introducing an important factor, i.e.~transformation. The motivation comes from the fact that most existing visual reasoning t…

cs.CL2020

Beyond Language: Learning Commonsense from Images for Reasoning

Wanqing Cui, Yanyan Lan, Liang Pang +2

This paper proposes a novel approach to learn commonsense from images, instead of limited raw texts or costly constructed knowledge bases, for the commonsense reasoning problem in…

cs.IR2020★ 45 cited

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

Xinyu Ma, Jiafeng Guo, Ruqing Zhang +3

Recently pre-trained language representation models such as BERT have shown great success when fine-tuned on downstream tasks including information retrieval (IR). However, pre-tra…

cs.CL2020

Query Understanding via Intent Description Generation

Ruqing Zhang, Jiafeng Guo, Yixing Fan +2

Query understanding is a fundamental problem in information retrieval (IR), which has attracted continuous attention through the past decades. Many different tasks have been propos…

cs.IR2020★ 6 cited

Continual Domain Adaptation for Machine Reading Comprehension

Lixin Su, Jiafeng Guo, Ruqing Zhang +3

Machine reading comprehension (MRC) has become a core component in a variety of natural language processing (NLP) applications such as question answering and dialogue systems. It b…

cs.LG2020★ 4 cited

On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation

Jianing Li, Yanyan Lan, Jiafeng Guo +1

The goal of text generation models is to fit the underlying real probability distribution of text. For performance evaluation, quality and diversity metrics are usually applied. Ho…

cs.CL2020★ 2 cited

Ranking Enhanced Dialogue Generation

Changying Hao, Liang Pang, Yanyan Lan +3

How to effectively utilize the dialogue history is a crucial problem in multi-turn dialogue generation. Previous works usually employ various neural network architectures (e.g., re…

cs.IR2020★ 2 cited

Match: A Matching over Matching Model for Similar Question Identification

Zizhen Wang, Yixing Fan, Jiafeng Guo +6

Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency o…

cs.IR2020★ 3 cited

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Liu Yang, Minghui Qiu, Chen Qu +5

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana, are becoming ever more widely used. Understanding user intent such as clarifi…