activity
20192024
most citedSentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

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

collaborators

9 papers

cs.AI2024

EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models

Yuncong Li, Tianhua Xu, Sheng-hua Zhong +1

Event Coreference Resolution (ECR) is the task of clustering event mentions that refer to the same real-world event. Despite significant advancements, ECR research faces two main c…

cs.CL2022

A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction

Yuncong Li, Fang Wang, Sheng-Hua Zhong

Aspect sentiment triplet extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences. Since the initial datasets used to evaluate models on AS…

cs.IR2022

Modeling User Repeat Consumption Behavior for Online Novel Recommendation

Yuncong Li, Cunxiang Yin, Yancheng He +4

Given a user's historical interaction sequence, online novel recommendation suggests the next novel the user may be interested in. Online novel recommendation is important but unde…

cs.CL2022

Training Entire-Space Models for Target-oriented Opinion Words Extraction

Yuncong Li, Fang Wang, Sheng-Hua Zhong

Target-oriented opinion words extraction (TOWE) is a subtask of aspect-based sentiment analysis (ABSA). Given a sentence and an aspect term occurring in the sentence, TOWE extracts…

cs.CL2021★ 1 cited

Aspect-Sentiment-Multiple-Opinion Triplet Extraction

Fang Wang, Yuncong Li, Sheng-hua Zhong +2

Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i.e., t…

cs.CL2021

A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task

Yuncong Li, Fang Wang, Wenjun Zhang +3

Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences and tries to provide a complete solution for aspect-based…

cs.CL2020★ 1 cited

Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis

Yuncong Li, Cunxiang Yin, Sheng-hua Zhong +1

Aspect-category sentiment analysis (ACSA) aims to predict sentiment polarities of sentences with respect to given aspect categories. To detect the sentiment toward a particular asp…

cs.CL2020★ 6 cited

Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

Yuncong Li, Cunxiang Yin, Sheng-hua Zhong

Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences. Since a sentence usually discusses one or more a…

cs.CL2019

A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer

Yuncong Li, Zhe Yang, Cunxiang Yin +4

Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities. Some joint models have been propose…