Implicit discourse relation recognition (IDRR) aims at recognizing the
d...
Learning contrastive representations from pairwise comparisons has achie...
Event Causality Identification (ECI) aims at determining whether there i...
Popularity bias is a persistent issue associated with recommendation sys...
Implicit Discourse Relation Recognition (IDRR) aims at classifying the
r...
Some recent news recommendation (NR) methods introduce a Pre-trained
Lan...
Recent years have witnessed many successful applications of contrastive
...
Recently, prompt-tuning has attracted growing interests in event argumen...
Incorporating knowledge graph as side information has become a new trend...
How to effectively sample high-quality negative instances is important f...
A discourse containing one or more sentences describes daily issues and
...
Session-based recommendation (SBR) aims at predicting the next item for ...
The focus of this work is on estimation of the in-degree distribution in...