TY - GEN
T1 - A framework for Entailed Relation Recognition
AU - Roth, Dan
AU - Sammons, Mark
AU - Vydiswaran, V. G.Vinod
N1 - Funding Information:
We thank Quang Do, Yuancheng Tu, and Kevin Small. This work is funded by a grant from Boeing and by MIAS, a DHS-IDS Center for Multimodal Information Access and Synthesis at UIUC.
PY - 2009
Y1 - 2009
N2 - We define the problem of recognizing entailed relations - given an open set of relations, find all occurrences of the relations of interest in a given document set - and pose it as a challenge to scalable information extraction and retrieval. Existing approaches to relation recognition do not address well problems with an open set of relations and a need for high recall: supervised methods are not easily scaled, while unsupervised and semi-supervised methods address a limited aspect of the problem, as they are restricted to frequent, explicit, highly localized patterns. We argue that textual entailment (TE) is necessary to solve such problems, propose a scalable TE architecture, and provide preliminary results on an Entailed Relation Recognition task.
AB - We define the problem of recognizing entailed relations - given an open set of relations, find all occurrences of the relations of interest in a given document set - and pose it as a challenge to scalable information extraction and retrieval. Existing approaches to relation recognition do not address well problems with an open set of relations and a need for high recall: supervised methods are not easily scaled, while unsupervised and semi-supervised methods address a limited aspect of the problem, as they are restricted to frequent, explicit, highly localized patterns. We argue that textual entailment (TE) is necessary to solve such problems, propose a scalable TE architecture, and provide preliminary results on an Entailed Relation Recognition task.
UR - http://www.scopus.com/inward/record.url?scp=80052650143&partnerID=8YFLogxK
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U2 - 10.3115/1667583.1667603
DO - 10.3115/1667583.1667603
M3 - Conference contribution
AN - SCOPUS:80052650143
SN - 9781617382581
T3 - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
SP - 57
EP - 60
BT - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
PB - Association for Computational Linguistics (ACL)
T2 - Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009
Y2 - 2 August 2009 through 7 August 2009
ER -