Search Results for author:
Found 5 papers, 2 papers with code
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models
We investigate the extent to which verb alternation classes, as described by Levin (1993), are encoded in the embeddings of Large Pre-trained Language Models (PLMs) such as BERT, RoBERTa, ELECTRA, and DeBERTa using selectively constructed diagnostic classifiers for word and sentence-level prediction tasks.
Event-driven Two-stage Solution to Non-intrusive Load Monitoring
Existing methods of non-intrusive load monitoring (NILM) in literatures generally suffer from high computational complexity and/or low accuracy in identifying working household appliances.
Non-Intrusive Load Monitoring
Vocal Bursts Valence Prediction
Adaptive Event Detection for Representative Load Signature Extraction
Event detection is the first step in event-based non-intrusive load monitoring (NILM) and it can provide useful transient information to identify appliances.
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
Based on the above, in this paper, we design a novel Recursive Hierarchy-Interactive Attention network (RHIA) to further handle long-tail relations, which models the heuristic effect between relation levels.
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
JSCN will simultaneously operate multi-layer spectral convolutions on different graphs, and jointly learn a domain-invariant user representation with a domain adaptive user mapping module.
