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20222024
most citedRelational Triple Extraction: One Step is Enough

2 citations · 2 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.CL2024

Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue

Shixuan Fan, Wei Wei, Wendi Li +3

The core of the dialogue system is to generate relevant, informative, and human-like responses based on extensive dialogue history. Recently, dialogue generation domain has seen ma…

cs.CL2024

Personalized Topic Selection Model for Topic-Grounded Dialogue

Shixuan Fan, Wei Wei, Xiaofei Wen +3

Recently, the topic-grounded dialogue (TGD) system has become increasingly popular as its powerful capability to actively guide users to accomplish specific tasks through topic-gui…

cs.CL2024

Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph

Rikui Huang, Wei Wei, Xiaoye Qu +3

Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching the time scope. Existing temporal knowledge graph question answering (TKGQA) models solely ap…

cs.CL2023

MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control

Zhenyi Lu, Wei Wei, Xiaoye Qu +3

Personalized dialogue systems aim to endow the chatbot agent with more anthropomorphic traits for human-like interactions. Previous approaches have explored explicitly user profile…

cs.CL2023

Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing

Ziming Huang, Zhuoxuan Jiang, Ke Wang +3

Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sales in E-commerce, are ubiquitous, and the dialog routing component is essential to improve the overall effici…

cs.CL2022

HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold

Ruihan Zhang, Wei Wei, Xian-Ling Mao +2

Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations. A…