2017
ACL
ACL 2017
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings
Abstract
AbstractWe 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.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— connective classification
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Hot Topic Early Bird
— discourse relation
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Core Methods > Representation Learning
Machine Learning > Core Methods > Embedding Learning
Natural Language Processing > Understanding > Semantic Analysis
Machine Learning > Learning Types > Representation Learning
Deep Learning > Techniques > Representation Learning
Artificial Intelligence > Core AI > Natural Language Processing