Contrastive learning, which is a powerful technique for learning image-l...
End-to-end weakly supervised semantic segmentation aims at optimizing a
...
Incomplete utterance rewriting has recently raised wide attention. Howev...
Distantly-Supervised Named Entity Recognition effectively alleviates the...
Named Entity Recognition is the task to locate and classify the entities...
Fine-grained entity typing (FET) aims to deduce specific semantic types ...
Most previous studies aim at extracting events from a single sentence, w...
A math word problem (MWP) is a coherent narrative which reflects the
und...
Document-level relation extraction has attracted much attention in recen...
Recent years have seen significant advancement in text generation tasks ...
Document-level Relation Extraction (RE) requires extracting relations
ex...
Document-level relation extraction aims to extract relations among entit...
In this paper, to evaluate text coherence, we propose the paragraph orde...