Year: 2017
Type: conference-paper
Abstract: We introduce a simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition.Specifically, DSWE is learned by performing connective classification on massive explicit discourse data, and capable of capturing discourse relationships between words.On the PDTB data set, using DSWE as features achieves significant improvements over baselines.
DOI: 10.18653/v1/p17-2042
Institution: Xiamen University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2741404738