activity
20182022
most citedEstimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

253 citations · 640 across the 12 of their papers we have counts for

collaborators

18 papers

cs.CL20221 cited

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

Youcheng Huang, Wenqiang Lei, Jie Fu +1

Incorporating large-scale pre-trained models with the prototypical neural networks is a de-facto paradigm in few-shot named entity recognition. Existing methods, unfortunately, are…

cs.CL2022

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction

Weiwen Xu, Yang Deng, Wenqiang Lei +3

We study automatic Contract Clause Extraction (CCE) by modeling implicit relations in legal contracts. Existing CCE methods mostly treat contracts as plain text, creating a substan…

cs.CL202220 cited

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

Kexin Yang, Dayiheng Liu, Wenqiang Lei +4

Attribute-based Controlled Text Generation (CTG) refers to generating sentences that satisfy desirable attributes (e.g., emotions and topics). Existing works often utilize fine-tun…

cs.IR20229 cited

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

Yang Deng, Wenxuan Zhang, Weiwen Xu +3

Recent years witnessed several advances in developing multi-goal conversational recommender systems (MG-CRS) that can proactively attract users' interests and naturally lead user-e…

cs.IR20229 cited

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

Wenqiang Lei, Yao Zhang, Feifan Song +5

Proactive dialogue system is able to lead the conversation to a goal topic and has advantaged potential in bargain, persuasion and negotiation. Current corpus-based learning manner…

cs.AI202186 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…