Background: In the information extraction and natural language processin...
Relation classification models are conventionally evaluated using only a...
Pre-trained language models (PLM) are effective components of few-shot n...
Definition Extraction systems are a valuable knowledge source for both h...
Named Entity Recognition (NER) in domains like e-commerce is an understu...
TACRED (Zhang et al., 2017) is one of the largest, most widely used
crow...
Recently, state-of-the-art NLP models gained an increasing syntactic and...
Despite the recent progress, little is known about the features captured...
Representations in the hidden layers of Deep Neural Networks (DNN) are o...
Distantly supervised relation extraction is widely used to extract relat...
Current state-of-the-art relation extraction methods typically rely on a...
PatternAttribution is a recent method, introduced in the vision domain, ...