Papers by Xiangju Li

2 papers
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness (D18-1)

Copied to clipboard

Challenge: Existing methods ignore the contexts around the emotion word which can provide an emotion cause clue.
Approach: They propose a co-attention neural network model for emotion cause analysis with emotional context awareness.
Outcome: The proposed model outperforms the state-of-the-art methods.
Boundary Detection with BERT for Span-level Emotion Cause Analysis (2021.findings-acl)

Copied to clipboard

Challenge: Emotion cause analysis (ECA) is an emerging topic in natural language processing, which aims to identify the reasons behind a given emotion.
Approach: They propose to detect the precise boundaries of text spans conveying accurate emotion causes from the given context by a sequence labeling and position identification problem.
Outcome: The proposed methods outperform existing models on two benchmark datasets on the emotion cause analysis task.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations