Large Language Models (LLMs) present significant priority in text
unders...
Positive-Unlabeled (PU) Learning is a challenge presented by binary
clas...
Key Information Extraction (KIE) is a challenging multimodal task that a...
Universal Information Extraction (UIE) is an area of interest due to the...
Because of the inevitable cost and complexity of transformer and pre-tra...
Neural text ranking models have witnessed significant advancement and ar...
While annotating decent amounts of data to satisfy sophisticated learnin...
Dialogue summarization has been extensively studied and applied, where t...
Chatbot is increasingly thriving in different domains, however, because ...
Conversation generation as a challenging task in Natural Language Genera...
Legal judgment prediction(LJP) is an essential task for legal AI. While ...
Relational fact extraction aims to extract semantic triplets from
unstru...
Ubiquitous internet access is reshaping the way we live, but it is
accom...
Is chatbot able to completely replace the human agent? The short answer ...
In a customer service system, dialogue summarization can boost service
e...
Automatic chat summarization can help people quickly grasp important
inf...
In the past few years, audiences from different fields witness the
achie...
Multi-role dialogue understanding comprises a wide range of diverse task...
Valentine Day February 14, is the day of love. The days ahead of Valenti...
The nonliteral interpretation of a text is hard to be understood by mach...
Recently, neural networks have shown promising results on Document-level...
Aspect category detection is an essential task for sentiment analysis an...
The task of Chinese text spam detection is very challenging due to both ...