[edit] Automatic Content Extraction (ACE) Evaluation

1999 - 2008

• http://www.itl.nist.gov/iad/mig/tests/ace/
• Papers

[edit] Text Analysis Conference (TAC)

2008 - present

• http://www.nist.gov/tac/
• TAC 2008 Proceedings Papers

[edit] Message Understanding Conference (MUC)

1987 - 1997

• http://en.wikipedia.org/wiki/Message_Understanding_Conference
• Message Understanding Conference Proceedings

[edit] Text REtrieval Conference (TREC)

1992 - present

• http://trec.nist.gov/

[edit] Document Understanding Conferences

2000 - 2007

Document summarization.

• http://duc.nist.gov/

[edit] Stanford Parser users

• Citovane v: Stanford typed dependencies manual

[edit] Extraction of opinions, sentiment and relations

• Michele Banko, Michael J. Cafarella, Stephen Soderland, Matt Broadhead, and Oren Etzioni. Open information extraction from the web. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), 2007. URL

• Francois-Regis Chaumartin. UPAR7: A knowledge-based system for headline sentiment tagging. In Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007), pages 422-425, 2007. URL

• Jason S. Kessler. Polling the blogosphere: a rule-based approach to belief classification. In International Conference on Weblogs and Social Media, 2008. URL.

• Arun Meena and T. V. Prabhakar. Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis. In Advances in Information Retrieval, volume 4425 of Lecture Notes in Computer Science. Springer, 2007. URL

• Li Zhuang, Feng Jing, Xiao yan Zhu, and Lei Zhang. Movie review mining and summarization. In Proc. ACM Conference on Information and Knowledge Management (CIKM), pages 43-50, 2006. URL

• Amal Zouaq, Roger Nkambou, and Claude Frasson. The knowledge puzzle: An integrated approach of intelligent tutoring systems and knowledge management. In Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), pages 575-582, 2006. URL

• Amal Zouaq, Roger Nkambou, and Claude Frasson. Building domain ontologies from text for educational purposes. In Proceedings of the Second European Conference on Technology Enhanced Learning: Creating new learning experiences on a global scale, 2007. URL

[edit] Pascal Recognizing Textual Entailment (RTE) challenges

• Rod Adams, Gabriel Nicolae, Cristina Nicolae, and Sanda Harabagiu. Textual entailment through extended lexical overlap and lexico-semantic matching. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pages 119-124, Prague, June 2007. URL.

• Catherine Blake. The role of sentence structure in recognizing textual entailment. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pages 101-106, Prague, June 2007. URL.

• Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloe Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, and Christopher D. Manning. Learning alignments and leveraging natural logic. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pages 165-170, Prague, June 2007. URL.

• Stefan Harmeling. An extensible probabilistic transformation-based approach to the third recognizing textual entailment challenge. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pages 137-142, Prague, June 2007. URL.

• Rui Wang and Gunter Neumann. Recognizing textual entailment using sentence similarity based on dependency tree skeletons. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pages 36-41, Prague, June 2007. URL.

[edit] Biomedical text mining

• Antti Airola, Sampo Pyysalo, Jari Bjorne, Tapio Pahikkala, Filip Ginter, and Tapio Salakoski. A graph kernel for protein-protein interaction extraction. In Proceedings of BioNLP 2008: Current Trends in Biomedical Natural Language Processing (ACL08), 2008.

• Jari Bjorne, Sampo Pyysalo, Filip Ginter, and Tapio Salakoski. How complex are complex protein-protein interactions? In 3rd International Symposium on Semantic Mining in Biomedecine, 2008.

• Andrew B. Clegg. Computational-Linguistic Approaches to Biological Text Mining. PhD thesis, School of Crystallography, Birkbeck, University of London, 2008.

• Gunes Erkan, Arzucan Ozgur, and Dragomir R. Radev. Semi-supervised classification for extracting protein interaction sentences using dependency parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2007.

• Katrin Fundel, Robert Kuffner, and Ralf Zimmer. RelEx - relation extraction using dependency parse trees. Bioinformatics, 23, 2007.

• Cory B. Giles and Jonathan D. Wren. Large-scale directional relationship extraction and resolution. BMC Bioinformatics, 9(Suppl 9):S11, 2008. doi: 10.1186/1471-2105-9-S9-S11. URL.

• Mark A. Greenwood and Mark Stevenson. A semi-supervised approach to learning relevant protein-protein interaction articles. In Proceedings of the Second BioCreAtIvE Challenge Workshop, Madrid, Spain, 2007.

• Arzucan Ozgur, Thuy Vu, Gunes Erkan, and Dragomir R. Radev. Identifying genedisease associations using centrality on a literature mined gene-interaction network. Bioinformatics, 24(13):i277{i285, 2008. doi: 10.1093/bioinformatics/btn182. URL.

• Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang, and Amit P. Sheth. Unsupervised discovery of compound entities for relationship extraction. In 16th International Conference on Knowledge Engineering: Practice and Patterns (EKAW 2008), pages 146-155, 2008.

• Jay Urbain, Nazli Goharian, and Ophir Frieder. IIT TREC 2007 genomics track: Using conceptbased semantics in context for genomics literature passage retrieval. In The Sixteenth Text REtrieval Conference (TREC 2007) Proceedings, 2007.