Add to ORKGColing 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference21507-151
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
Discourse coherence refers to a set of relations that connect textual units to each other in order t...
This paper addresses the specific features of Chinese discourse connectives, including types (word-p...
10.1109/IJCNN.2012.6252548Proceedings of the International Joint Conference on Neural Networks85OF
Abstract—Implicit discourse relation classification is a challenge task due to missing discourse con...
International audienceWe introduce a simple semi-supervised approach to improve implicitdiscourse re...
We provide a systematic study of previously proposed features for implicit discourse relation identi...
Modern solutions for implicit discourse relation recognition largely build universal models to class...
Implicit discourse relation recognition is a challenging task in the natural language processing fie...
Without discourse connectives, classifying implicit discourse relations is a challenging task and a ...
Automatic Sense Prediction for Implicit Discourse Relations in Text We present a series of experimen...
EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing:...
Abstract(#br)Implicit discourse relation recognition is the performance bottleneck of discourse stru...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
International audienceThis paper presents the first experiments on identifying implicit discourse re...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
Discourse coherence refers to a set of relations that connect textual units to each other in order t...
This paper addresses the specific features of Chinese discourse connectives, including types (word-p...
10.1109/IJCNN.2012.6252548Proceedings of the International Joint Conference on Neural Networks85OF
Abstract—Implicit discourse relation classification is a challenge task due to missing discourse con...
International audienceWe introduce a simple semi-supervised approach to improve implicitdiscourse re...
We provide a systematic study of previously proposed features for implicit discourse relation identi...
Modern solutions for implicit discourse relation recognition largely build universal models to class...
Implicit discourse relation recognition is a challenging task in the natural language processing fie...
Without discourse connectives, classifying implicit discourse relations is a challenging task and a ...
Automatic Sense Prediction for Implicit Discourse Relations in Text We present a series of experimen...
EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing:...
Abstract(#br)Implicit discourse relation recognition is the performance bottleneck of discourse stru...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
International audienceThis paper presents the first experiments on identifying implicit discourse re...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
Discourse coherence refers to a set of relations that connect textual units to each other in order t...
This paper addresses the specific features of Chinese discourse connectives, including types (word-p...