Text classifiers built on Pre-trained Language Models (PLMs) have achiev...
Document-level multi-event extraction aims to extract the structural
inf...
The exceptional performance of pre-trained large language models has
rev...
Assessing student answers and providing valuable feedback is crucial for...
Contrastive opinion extraction aims to extract a structured summary or k...
We propose a simple yet effective strategy to incorporate event knowledg...
To enhance the ability to find credible evidence in news articles, we pr...
In this demo, we introduce a web-based misinformation detection system
P...
Recent years have witnessed increasing interests in prompt-based learnin...
This paper concerns the control of text-guided generative models, where ...
Monitoring online customer reviews is important for business organisatio...
Human reading comprehension often requires reasoning of event semantic
r...
Consider the problem of estimating the causal effect of some attribute o...
Token uniformity is commonly observed in transformer-based models, in wh...
Recent years have witnessed increasing interests in developing interpret...
Job shop scheduling problem (JSP) is a widely studied NP-complete
combin...
As the digital news industry becomes the main channel of information
dis...
The Emotion Cause Extraction (ECE) task aims to identify clauses which
c...
Emotion detection in dialogues is challenging as it often requires the
i...
Biomedical question-answering (QA) has gained increased attention for it...
In this paper, we propose the Brand-Topic Model (BTM) which aims to dete...
We introduce CHIME, a cross-passage hierarchical memory network for ques...
The flexibility of the inference process in Variational Autoencoders (VA...
We propose a topic-dependent attention model for sentiment classificatio...
Emotion cause extraction aims to identify the reasons behind a certain
e...
We present an approach to capture the 3D motion of a group of people eng...