activity
20172022
most citedR-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

65 citations · 138 across the 12 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2022★ 2 cited

Joint Open Knowledge Base Canonicalization and Linking

Yinan Liu, Wei Shen, Yuanfei Wang +3

Open Information Extraction (OIE) methods extract a large number of OIE triples (noun phrase, relation phrase, noun phrase) from text, which compose large Open Knowledge Bases (OKB…

cs.CL2022★ 4 cited

Learning Entity Linking Features for Emerging Entities

Chenwei Ran, Wei Shen, Jianbo Gao +3

Entity linking (EL) is the process of linking entity mentions appearing in text with their corresponding entities in a knowledge base. EL features of entities (e.g., prior probabil…

cs.CL2021★ 12 cited

Entity Linking Meets Deep Learning: Techniques and Solutions

Wei Shen, Yuhan Li, Yinan Liu +3

Entity linking (EL) is the process of linking entity mentions appearing in web text with their corresponding entities in a knowledge base. EL plays an important role in the fields…

cs.CL2021★ 1 cited

Graph-Based Tri-Attention Network for Answer Ranking in CQA

Wei Zhang, Zeyuan Chen, Chao Dong +3

In community-based question answering (CQA) platforms, automatic answer ranking for a given question is critical for finding potentially popular answers in early times. The mainstr…

cs.CL2018★ 8 cited

Regularizing Neural Machine Translation by Target-bidirectional Agreement

Zhirui Zhang, Shuangzhi Wu, Shujie Liu +3

Although Neural Machine Translation (NMT) has achieved remarkable progress in the past several years, most NMT systems still suffer from a fundamental shortcoming as in other seque…