activity
20172023
most citedTDAM: a Topic-Dependent Attention Model for Sentiment Analysis

54 citations · 143 across the 23 of their papers we have counts for

collaborators

23 papers

cs.CL2023★ 1 cited

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models

Jiazheng Li, Zhaoyue Sun, Bin Liang +2

Text classifiers built on Pre-trained Language Models (PLMs) have achieved remarkable progress in various tasks including sentiment analysis, natural language inference, and questi…

cs.CL2023

Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization

Xinyu Wang, Lin Gui, Yulan He

Document-level multi-event extraction aims to extract the structural information from a given document automatically. Most recent approaches usually involve two steps: (1) modeling…

cs.CL2023

Cone: Unsupervised Contrastive Opinion Extraction

Runcong Zhao, Lin Gui, Yulan He

Contrastive opinion extraction aims to extract a structured summary or key points organised as positive and negative viewpoints towards a common aspect or topic. Most recent works…

cs.CL2023

Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering

Junru Lu, Gabriele Pergola, Lin Gui +1

We propose a simple yet effective strategy to incorporate event knowledge extracted from event trigger annotations via posterior regularization to improve the event reasoning capab…

cs.IR2023★ 1 cited

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

Wenjia Zhang, Lin Gui, Rob Procter +1

To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news t…

cs.CL2023★ 5 cited

Distilling ChatGPT for Explainable Automated Student Answer Assessment

Jiazheng Li, Lin Gui, Yuxiang Zhou +3

Providing explainable and faithful feedback is crucial for automated student answer assessment. In this paper, we introduce a novel framework that explores using ChatGPT, a cutting…