activity
20182023
most citedEstimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

253 citations · 835 across the 26 of their papers we have counts for

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6 papers · 1 filter

cs.AI2022★ 1 cited

RDU: A Region-based Approach to Form-style Document Understanding

Fengbin Zhu, Chao Wang, Wenqiang Lei +2

Key Information Extraction (KIE) is aimed at extracting structured information (e.g. key-value pairs) from form-style documents (e.g. invoices), which makes an important step towar…

cs.AI2021★ 86 cited

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

Junkang Wu, Wentao Shi, Xuezhi Cao +5

Knowledge graph completion (KGC) has become a focus of attention across deep learning community owing to its excellent contribution to numerous downstream tasks. Although recently…

cs.AI2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Fengbin Zhu, Wenqiang Lei, Chao Wang +3

Open-domain Question Answering (OpenQA) is an important task in Natural Language Processing (NLP), which aims to answer a question in the form of natural language based on large-sc…

cs.AI2020★ 5 cited

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Yao Zhang, Xu Zhang, Jun Wang +5

Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…

cs.AI2020

GMH: A General Multi-hop Reasoning Model for KG Completion

Yao Zhang, Hongru Liang, Adam Jatowt +4

Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…

cs.AI2020★ 4 cited

Rethinking Dialogue State Tracking with Reasoning

Lizi Liao, Yunshan Ma, Wenqiang Lei +1

Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a proble…