Comparable study of event extraction in newswire and biomedical domains

COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Volumn , Issue , 2014, Pages 2270-2279

  Miwa, Makoto ^a,b   Thompson, Paul ^a   Korkontzelos, Ioannis ^a   Ananiadou, Sophia ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b TOYOTA TECHNOLOGICAL INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EXTRACTION; INFORMATION ANALYSIS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

BIOMEDICAL DOMAIN; EVENT EXTRACTION; F-SCORE; NATURAL LANGUAGE PROCESSING; PRIMARY EVALUATION; RESEARCH TOPICS; STATE OF THE ART; TWO DOMAINS;

DATA MINING;

EID: 84954056528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. David Ahn. 2006. The stages of event extraction. In Proceedings of the Workshop on Annotating and Reasoning about Time and Events, pages 1-8, Sydney, Australia, July. ACL.
2. Jari Bjorne and Tapio Salakoski. 2013. Tees 2.1: Automated annotation scheme learning in the bionlp 2013 shared task. In Proceedings of the BioNLP Shared Task 2013 Workshop, pages 16-25, Sofia, Bulgaria, August. ACL.
3. Peter F Brown, Peter V Desouza, Robert L Mercer, Vincent J Della Pietra, and Jenifer C Lai. 1992. Class-based n-gram models of natural language. Computational linguistics, 18(4):467-479.
4. Nancy A. Chinchor. 1998. Overview of MUC-7/MET-2. In Proceedings of the 7th Message Understanding Conference (MUC-7/MET-2).
5. Hal Daume III and Daniel Marcu. 2006. Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research, 26:101-126.
6. Claudio Giuliano, Alberto Lavelli, and Lorenza Romano. 2006. Simple information extraction (sie): A portable and effective ie system. In Proceedings of the Workshop on Adaptive Text Extraction and Mining (ATEM 2006), pages 9-16, Trento, Italy, April. Association for Computational Linguistics.
7. Dan Goldwasser and Dan Roth. 2013. Leveraging domain-independent information in semantic parsing. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 462-466, Sofia, Bulgaria, August. Association for Computational Linguistics.
8. Ralph Grishman, David Westbrook, and Adam Meyers. 2005. NYU's english ACE 2005 system description. In Proceedings of ACE 2005 Evaluation Workshop, Washington, US.
9. Kai Hakala, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer, and Filip Ginter. 2013. Evex in st'13: Application of a large-scale text mining resource to event extraction and network construction. In Proceedings of the BioNLP Shared Task 2013 Workshop, pages 26-34, Sofia, Bulgaria, August. ACL.
10. Yu Hong, Jianfeng Zhang, Bin Ma, Jianmin Yao, Guodong Zhou, and Qiaoming Zhu. 2011. Using cross-entity inference to improve event extraction. In Proceedings of the 49th ACL-HLT, pages 1127-1136, Portland, Oregon, USA, June. ACL.
11. Heng Ji and Ralph Grishman. 2008. Refining event extraction through cross-document inference. In Proceedings of ACL-08: HLT, pages 254-262, Columbus, Ohio, June. ACL.
12. Jin-Dong Kim, Yue Wang, and Yamamoto Yasunori. 2013. The genia event extraction shared task, 2013 edition - overview. In Proceedings of the BioNLP Shared Task 2013 Workshop, pages 8-15, Sofia, Bulgaria, August. ACL.
13. Qi Li, Heng Ji, and Liang Huang. 2013. Joint event extraction via structured prediction with global features. In Proceedings of the 51st ACL, pages 73-82, Sofia, Bulgaria, August. ACL.
14. Shasha Liao and Ralph Grishman. 2010. Using document level cross-event inference to improve event extraction. In Proceedings of the 48th ACL, pages 789-797, Uppsala, Sweden, July. ACL.
15. Wei Lu and Dan Roth. 2012. Automatic event extraction with structured preference modeling. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 835-844, Jeju Island, Korea, July. Association for Computational Linguistics.
16. David McClosky, Sebastian Riedel, Mihai Surdeanu, Andrew McCallum, and Christopher Manning. 2012. Combining joint models for biomedical event extraction. BMC Bioinformatics, 13(Suppl11):S9.
17. Makoto Miwa, Paul Thompson, and Sophia Ananiadou. 2012. Boosting automatic event extraction from the literature using domain adaptation and coreference resolution. Bioinformatics, 28(13):1759-1765.
18. Yusuke Miyao and Junichi Tsujii. 2008. Feature forest models for probabilistic HPSG parsing. Computational Linguistics, 34(1):35-80, March.
19. Sinno Jialin Pan and Qiang Yang. 2010. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10):1345-1359.
20. Longhua Qian and Guodong Zhou. 2012. Tree kernel-based protein-protein interaction extraction from biomedical literature. Journal of biomedical informatics, 45(3):535-543.
21. Ellen Riloff. 1996. Automatically generating extraction patterns from untagged text. In Proceedings of the national conference on artificial intelligence, pages 1044-1049.
22. Rune Sætre, Kazuhiro Yoshida, Akane Yakushiji, Yusuke Miyao, Yuichiro Matsubayashi, and Tomoko Ohta. 2007. AKANE System: Protein-protein interaction pairs in BioCreAtIvE2 Challenge, PPI-IPS subtask. In Proceedings of the Second BioCreative Challenge Evaluation Workshop, pages 209-212, CNIO, Madrid, Spain, April.
23. Kenji Sagae and Junichi Tsujii. 2007. Dependency parsing and domain adaptation with LR models and parser ensembles. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pages 1044-1050, Prague, Czech Republic, June. ACL.
24. Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006. Ace 2005 multilingual training corpus. Linguistic Data Consortium.