%0 Conference Paper %1 chan2011 %A Chan, Yee Seng %A Roth, Dan %B Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1 %C Stroudsburg, PA, USA %D 2011 %I Association for Computational Linguistics %K content extraction information micro microstructures non pattern relation semantic structures syntactico text token word %P 551--560 %T Exploiting Syntactico-semantic Structures for Relation Extraction %U http://dl.acm.org/citation.cfm?id=2002472.2002542 %X In this paper, we observe that there exists a second dimension to the relation extraction (RE) problem that is orthogonal to the relation type dimension. We show that most of these second dimensional structures are relatively constrained and not difficult to identify. We propose a novel algorithmic approach to RE that starts by first identifying these structures and then, within these, identifying the semantic type of the relation. In the real RE problem where relation arguments need to be identified, exploiting these structures also allows reducing pipelined propagated errors. We show that this RE framework provides significant improvement in RE performance. %@ 978-1-932432-87-9

@inproceedings{chan2011, abstract = {In this paper, we observe that there exists a second dimension to the relation extraction (RE) problem that is orthogonal to the relation type dimension. We show that most of these second dimensional structures are relatively constrained and not difficult to identify. We propose a novel algorithmic approach to RE that starts by first identifying these structures and then, within these, identifying the semantic type of the relation. In the real RE problem where relation arguments need to be identified, exploiting these structures also allows reducing pipelined propagated errors. We show that this RE framework provides significant improvement in RE performance.}, acmid = {2002542}, added-at = {2014-01-07T08:25:42.000+0100}, address = {Stroudsburg, PA, USA}, author = {Chan, Yee Seng and Roth, Dan}, biburl = {https://www.bibsonomy.org/bibtex/239e8d98e2ccd5dd9652008a4ab68ed1d/jil}, booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1}, description = {syntactico-semantic structures}, interhash = {d8239c06fdef6c662abe64ac4977b299}, intrahash = {39e8d98e2ccd5dd9652008a4ab68ed1d}, isbn = {978-1-932432-87-9}, keywords = {content extraction information micro microstructures non pattern relation semantic structures syntactico text token word}, location = {Portland, Oregon}, numpages = {10}, pages = {551--560}, publisher = {Association for Computational Linguistics}, series = {HLT '11}, timestamp = {2014-01-07T08:25:42.000+0100}, title = {Exploiting Syntactico-semantic Structures for Relation Extraction}, url = {http://dl.acm.org/citation.cfm?id=2002472.2002542}, year = 2011 }