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COLING
2010
12 years 12 months ago
Predicting Discourse Connectives for Implicit Discourse Relation Recognition
Existing works indicate that the absence of explicit discourse connectives makes it difficult to recognize implicit discourse relations. In this paper we attempt to overcome this ...
Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, Man Lan, Jian S...
ACL
2009
13 years 2 months ago
Automatic sense prediction for implicit discourse relations in text
We present a series of experiments on automatically identifying the sense of implicit discourse relations, i.e. relations that are not marked with a discourse connective such as &...
Emily Pitler, Annie Louis, Ani Nenkova
EMNLP
2010
13 years 2 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
ACL
2011
12 years 8 months ago
Automatically Evaluating Text Coherence Using Discourse Relations
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Ziheng Lin, Hwee Tou Ng, Min-Yen Kan
IJCNLP
2005
Springer
13 years 10 months ago
Relation Extraction Using Support Vector Machine
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Gum-Won Hong