research
∙
09/14/2023
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Implicit discourse relation recognition (IDRR) aims at recognizing the d...
share
research
∙
07/29/2023
Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Learning contrastive representations from pairwise comparisons has achie...
research
∙
07/19/2023
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
Event Causality Identification (ECI) aims at determining whether there i...
research
∙
06/02/2023
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling
Popularity bias is a persistent issue associated with recommendation sys...
research
∙
05/18/2023
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition
Implicit Discourse Relation Recognition (IDRR) aims at classifying the r...
research
∙
04/11/2023
Prompt Learning for News Recommendation
Some recent news recommendation (NR) methods introduce a Pre-trained Lan...
research
∙
01/27/2023
Bayesian Self-Supervised Contrastive Learning
Recent years have witnessed many successful applications of contrastive ...
research
∙
10/28/2022
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction
Recently, prompt-tuning has attracted growing interests in event argumen...
research
∙
04/03/2022
Virtual Relational Knowledge Graphs for Recommendation
Incorporating knowledge graph as side information has become a new trend...
research
∙
04/02/2022
Negative Sampling for Recommendation
How to effectively sample high-quality negative instances is important f...
research
∙
03/06/2022
A Survey of Implicit Discourse Relation Recognition
A discourse containing one or more sentences describes daily issues and ...
research
∙
02/19/2022
Graph Spring Network and Informative Anchor Selection for Session-based Recommendation
Session-based recommendation (SBR) aims at predicting the next item for ...
research
∙
10/02/2018
