%0 Conference Paper %1 1073145 %A Marcu, Daniel %A Echihabi, Abdessamad %B ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics %C Morristown, NJ, USA %D 2001 %I Association for Computational Linguistics %K annotation diplomarbeit %P 368--375 %R http://dx.doi.org/10.3115/1073083.1073145 %T An unsupervised approach to recognizing discourse relations %U http://portal.acm.org/citation.cfm?doid=1073083.1073145 %X We present an unsupervised approach to recognizing discourse relations of CONTRAST, EXPLANATION-EVIDENCE, CONDITION and ELABORATION that hold between arbitrary spans of texts. We show that discourse relation classifiers trained on examples that are automatically extracted from massive amounts of text can be used to distinguish between some of these relations with accuracies as high as 93%, even when the relations are not explicitly marked by cue phrases.

@inproceedings{1073145, abstract = {We present an unsupervised approach to recognizing discourse relations of CONTRAST, EXPLANATION-EVIDENCE, CONDITION and ELABORATION that hold between arbitrary spans of texts. We show that discourse relation classifiers trained on examples that are automatically extracted from massive amounts of text can be used to distinguish between some of these relations with accuracies as high as 93%, even when the relations are not explicitly marked by cue phrases.}, added-at = {2009-03-10T17:51:07.000+0100}, address = {Morristown, NJ, USA}, author = {Marcu, Daniel and Echihabi, Abdessamad}, biburl = {https://www.bibsonomy.org/bibtex/2461c96c062376a05dffb1909376ae26f/dominikb1888}, booktitle = {ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics}, description = {An unsupervised approach to recognizing discourse relations}, doi = {http://dx.doi.org/10.3115/1073083.1073145}, interhash = {87cb8e2f5c513da0a8106ff83c1f181f}, intrahash = {461c96c062376a05dffb1909376ae26f}, keywords = {annotation diplomarbeit}, location = {Philadelphia, Pennsylvania}, pages = {368--375}, publisher = {Association for Computational Linguistics}, timestamp = {2010-12-09T12:52:02.000+0100}, title = {An unsupervised approach to recognizing discourse relations}, url = {http://portal.acm.org/citation.cfm?doid=1073083.1073145}, year = 2001 }