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Improving Relation Classification by Entity Pair Graph
Existing relation classification approaches mainly rely on exploiting external resources and background knowledge to improve the performance and ignore the correlations between entity pairs which are helpful for relation classification.
Ranked #10 on
Relation Extraction
on SemEval-2010 Task-8
Exploiting the Entity Type Sequence to Benefit Event Detection
Event Detection (ED) is one of the most important task in the field of information extraction.
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
Dialogue Act (DA) classification is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Ranked #5 on
Dialogue Act Classification
on Switchboard corpus
