An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Representing Discourse Coherence: A Corpus-Based Study
Computational Linguistics
Contextual semantic annotations: modelling and automatic extraction
Proceedings of the fifth international conference on Knowledge capture
Recognizing implicit discourse relations in the Penn Discourse Treebank
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Kernel based discourse relation recognition with temporal ordering information
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
The effects of discourse connectives prediction on implicit discourse relation recognition
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Predicting discourse connectives for implicit discourse relation recognition
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Facets of a discourse analysis of safety requirements
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Cross-argument inference for implicit discourse relation recognition
Proceedings of the 21st ACM international conference on Information and knowledge management
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This paper describes a system which identifies discourse relations between two successive sentences in Japanese. On top of the lexical information previously proposed, we used phrasal pattern information. Adding phrasal information improves the system's accuracy 12%, from 53% to 65%.