Semi-Supervised Cause Identification from Aviation Safety Reports

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.

Volumn , Issue , 2009, Pages 843-851

  Persing, Isaac ^a   Ng, Vincent ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

AVIATION DOMAIN; AVIATION INCIDENTS; AVIATION SAFETY; CLASS DISTRIBUTIONS; INCIDENT REPORTS; LABELED DATA; MULTI-LABEL CATEGORIZATION; PERFORMANCE; SAFETY REPORTS; SEMI-SUPERVISED;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84922655145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Jean Carletta. 1996. Assessing agreement on classification tasks: The Kappa statistic. Computational Linguistics, 22(2):249–254.
2. ∼cjlin/libsvm.
3. Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer. 2002. SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16:321–357.
4. Tom Fawcett. 1996. Learning with skewed class distributions — summary of responses. Machine Learning List: Vol. 8, No. 20.
5. Rafael Guzmán-Cabrera, Manuel Montes-y-Gómez, Paolo Rosso, and Luis Villaseñor Pineda. 2007. Taking advantage of the Web for text classification with imbalanced classes. In Proceedings of MICAI, pages 831–838.
6. Miroslav Kubat and Stan Matwin. 1997. Addressing the curse of imbalanced training sets: One-sided selection. In Proceedings of ICML, pages 179–186.
7. Andrew McCallum and Kamal Nigam. 1999. Text classification by bootstrapping with keywords, EM and shrinkage. In Proceedings of the ACL Workshop for Unsupervised Learning in Natural Language Processing, pages 52–58.
8. Kamal Nigam, Andrew McCallum, Sebastian Thrun, and Tom Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103–134.
9. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP, pages 79–86.
10. Michael Pazzani, Christopher Merz, Patrick Murphy, Kamal Ali, Timothy Hume, and Clifford Brunk. 1994. Reducing misclassification costs. In Proceedings of ICML, pages 217–225.
11. David Pierce and Claire Cardie. 2001. Limitations of co-training for natural language learning from large datasets. In Proceedings of EMNLP, pages 1–9.
12. Christian Posse, Brett Matzke, Catherine Anderson, Alan Brothers, Melissa Matzke, and Thomas Ferryman. 2005. Extracting information from narratives: An application to aviation safety reports. In Proceedings of the Aerospace Conference 2005, pages 3678–3690.
13. Yiming Yang and Jan O. Pedersen. 1997. A comparative study on feature selection in text categorization. In Proceedings of ICML, pages 412–420.
14. David Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the ACL, pages 189–196.