activity
20202022
most citedImproving Tree-Structured Decoder Training for Code Generation via Mutual Learning

4 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph

Dawei Li, Yanran Li, Jiayi Zhang +4

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps. To fill the gap,…

cs.CL20221 cited

MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation

Quan Tu, Yanran Li, Jianwei Cui +3

Applying existing methods to emotional support conversation -- which provides valuable assistance to people who are in need -- has two major limitations: (a) they generally employ…

cs.CL2021

Towards an Online Empathetic Chatbot with Emotion Causes

Yanran Li, Ke Li, Hongke Ning +5

Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand…

cs.CL2020

Modeling Homophone Noise for Robust Neural Machine Translation

Wenjie Qin, Xiang Li, Yuhui Sun +3

In this paper, we propose a robust neural machine translation (NMT) framework. The framework consists of a homophone noise detector and a syllable-aware NMT model to homophone erro…

cs.CL20202 cited

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

Xiuying Chen, Zhi Cui, Jiayi Zhang +5

In multi-turn dialog, utterances do not always take the full form of sentences \cite{Carbonell1983DiscoursePA}, which naturally makes understanding the dialog context more difficul…

cs.CL20203 cited

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

Pan Xie, Zhi Cui, Xiuyin Chen +3

Non-autoregressive models generate target words in a parallel way, which achieve a faster decoding speed but at the sacrifice of translation accuracy. To remedy a flawed translatio…