activity
20192024
most citedOn the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

4 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024

Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models

Zizheng Lin, Chunkit Chan, Yangqiu Song +1

Theory-of-Mind (ToM) ability possessed by Large Language Models (LLMs) has been shown to be limited. Most existing methods for improving ToM in LLMs adopt zero-shot prompting, and…

cs.CL20231 cited

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition

Chunkit Chan, Xin Liu, Jiayang Cheng +4

Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to recognize the discourse relations between the arguments with the absence of discourse conn…

cs.CL2021

Exploring Discourse Structures for Argument Impact Classification

Xin Liu, Jiefu Ou, Yangqiu Song +1

Discourse relations among arguments reveal logical structures of a debate conversation. However, no prior work has explicitly studied how the sequence of discourse relations influe…

cs.CL20202 cited

A Variational Approach to Unsupervised Sentiment Analysis

Ziqian Zeng, Wenxuan Zhou, Xin Liu +4

In this paper, we propose a variational approach to unsupervised sentiment analysis. Instead of using ground truth provided by domain experts, we use target-opinion word pairs as a…

cs.CL20204 cited

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Xin Liu, Jiefu Ou, Yangqiu Song +1

Implicit discourse relation classification is one of the most difficult parts in shallow discourse parsing as the relation prediction without explicit connectives requires the lang…