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Relation Extraction is an important task in Information Extraction which deals with identifying semantic relations between entity mentions.
Roth, D., Yih, W.t.: Probabilistic reasoning for entity & relation recognition. In: Proceedings of the 19th international conference on Computational linguistics-Volume 1. pp. 1–7. ACL (2002)
2002
Earlier work this paper cites.
Doddington, G.R., Mitchell, A., Przybocki, M.A., Ramshaw, L.A., Strassel, S., Weischedel, R.M.: The Automatic Content Extraction (ACE) Program-Tasks, Data, and Evaluation. In: LREC. vol. 2, p. 1 (2004)
2004
Earlier work this paper cites.
Roth, D., Yih, W.t.: A linear programming formulation for global inference in natural language tasks. In: Ng, H.T., Riloff, E. (eds.) HLT-NAACL 2004 Workshop: Eighth Conference on Computational Natural Language Learning (CoNLL-2004). pp. 1–8. Association for Computational Linguistics, Boston, Massachusetts, USA (May 6 - May 7 2004)
2004
Earlier work this paper cites.
Bunescu, R., Mooney, R.: A shortest path dependency kernel for relation extraction. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. pp. 724–731. Association for Computational Linguistics, Vancouver, British Columbia, Canada (October 2005), http://www.aclweb.org/anthology/H/H05/H05-1091
2005
Earlier work this paper cites.
2005
Earlier work this paper cites.
Walker, C., Strassel, S., Medero, J., Maeda, K.: Ace 2005 multilingual training corpus. Linguistic Data Consortium, Philadelphia 57
2006
Earlier work this paper cites.
Jiang, J., Zhai, C.: A systematic exploration of the feature space for relation extraction. In: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference. pp. 113–120. Association for Computational Linguistics, Rochester, New York (April 2007), http://www.aclweb.org/anthology/N/N07/N07-1015
2007
Earlier work this paper cites.
Qian, L., Zhou, G., Kong, F., Zhu, Q., Qian, P.: Exploiting constituent dependencies for tree kernel-based semantic relation extraction. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008). pp. 697–704. Coling 2008 Organizing Committee, Manchester, UK (August 2008), http://www.aclweb.org/anthology/C08-1088
2008
Earlier work this paper cites.
Kate, R.J., Mooney, R.: Joint entity and relation extraction using card-pyramid parsing. In: Proceedings of the Fourteenth Conference on Computational Natural Language Learning. pp. 203–212. Association for Computational Linguistics, Uppsala, Sweden (July 2010), http://www.aclweb.org/anthology/W10-2924
2010
Earlier work this paper cites.
Chan, Y.S., Roth, D.: Exploiting syntactico-semantic structures for relation extraction. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. pp. 551–560. Association for Computational Linguistics, Portland, Oregon, USA (June 2011), http://www.aclweb.org/anthology/P11-1056
2011
Cited alongside, same era.
Gurulingappa, H., Rajput, A.M., Roberts, A., Fluck, J., Hofmann-Apitius, M., Toldo, L.: Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. Journal of biomedical informatics 45
2012
Cited alongside, same era.
Pyysalo, S., Ginter, F., Moen, H., Ananiadou, S.: Distributional semantics resources for biomedical text processing. LBM 2013
2013
Cited alongside, same era.
Li, Q., Ji, H.: Incremental joint extraction of entity mentions and relations. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 402–412. Association for Computational Linguistics, Baltimore, Maryland (June 2014), http://www.aclweb.org/anthology/P14-1038
Katiyar, A., Cardie, C.: Going out on a limb: Joint extraction of entity mentions and relations without dependency trees. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). vol. 1, pp. 917–928 (2017)
2017
Later among the works it cites.
Li, F., Zhang, M., Fu, G., Ji, D.: A neural joint model for entity and relation extraction from biomedical text. BMC bioinformatics 18
2017
Later among the works it cites.
Pawar, S., Bhattacharyya, P., Palshikar, G.: End-to-end Relation Extraction using Neural Networks and Markov Logic Networks. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. vol. 1, pp. 818–827 (2017)
2017
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2017
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2014
Cited alongside, same era.
Miwa, M., Sasaki, Y.: Modeling joint entity and relation extraction with table representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1858–1869. Association for Computational Linguistics, Doha, Qatar (October 2014), http://www.aclweb.org/anthology/D14-1200
2014
Cited alongside, same era.
Pennington, J., Socher, R., Manning, C.: Glove: Global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). pp. 1532–1543 (2014)
2014
Cited alongside, same era.
Gupta, P., Schütze, H., Andrassy, B.: Table filling multi-task recurrent neural network for joint entity and relation extraction. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. pp. 2537–2547 (2016)
2016
Cited alongside, same era.
Miwa, M., Bansal, M.: End-to-end relation extraction using lstms on sequences and tree structures. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 1105–1116. Association for Computational Linguistics, Berlin, Germany (August 2016), http://www.aclweb.org/anthology/P16-1105
2016
Cited alongside, same era.
Pawar, S., Bhattacharyya, P., Palshikar, G.: End-to-end relation extraction using markov logic networks. In: Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016), LNCS 9624. Springer (2016)
2016
Cited alongside, same era.
Ren, X., Wu, Z., He, W., Qu, M., Voss, C.R., Ji, H., Abdelzaher, T.F., Han, J.: Cotype: Joint extraction of typed entities and relations with knowledge bases. In: Proceedings of the 26th International Conference on World Wide Web. pp. 1015–1024. International World Wide Web Conferences Steering Committee (2017)
2017
Later among the works it cites.
Zhang, M., Zhang, Y., Fu, G.: End-to-end neural relation extraction with global optimization. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pp. 1730–1740 (2017)
2017
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Zheng, S., Wang, F., Bao, H., Hao, Y., Zhou, P., Xu, B.: Joint extraction of entities and relations based on a novel tagging scheme. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). vol. 1, pp. 1227–1236 (2017)
2017
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2018
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Wang, S., Zhang, Y., Che, W., Liu, T.: Joint extraction of entities and relations based on a novel graph scheme. In: IJCAI. pp. 4461–4467 (2018)
2018
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