Event extraction is a fundamental task in natural language processing th...
We present Mask-then-Fill, a flexible and effective data augmentation
fr...
Event extraction (EE) is crucial to downstream tasks such as new aggrega...
Though linguistic knowledge emerges during large-scale language model
pr...
Representations of events described in text are important for various ta...
Large-scale pre-trained language models have demonstrated strong knowled...
Deep learning-based sequential recommender systems have recently attract...
We address hypernymy detection, i.e., whether an is-a relationship exist...
Computational and cognitive studies suggest that the abstraction of
even...
Conventional word embeddings represent words with fixed vectors, which a...
Capturing users' precise preferences is a fundamental problem in large-s...