In:Negation and Speculation Detection
Noa P. Cruz Díaz and Manuel J. Maña López
[Natural Language Processing 13] 2019
► pp. 53–62
Chapter 5Resources
Published online: 6 February 2019
https://doi.org/10.1075/nlp.13.c5
https://doi.org/10.1075/nlp.13.c5
Chapter 5 presents a set of relevant resources for any researcher or developer interested in the problem: the main publicly available corpora annotated with information about negation and speculation for different domains and languages, the set of available negation/speculation recognition tools developed for English that can be integrated in other NLP applications and a description of the evaluation metrics used by the NLP community to evaluate the detectors built to tackle this task.
Article outline
- 5.1Annotated corpora
- 5.2Tools
- 5.3Evaluation
- 5.3.1Evaluation measures for cue identification
- 5.3.2Evaluation measures for scope resolution
- 5.4Conclusions and chapter summary
- 5.5Further reading and relevant resources
Notes Suggestions for further reading
References (7)
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Pustejovsky, J., & Stubbs, A. (2012). Natural Language Annotation for Machine Learning: A guide to corpus-building for applications. " O'Reilly Media, Inc.".
Sokolova, M., Japkowicz, N., & Szpakowicz, S. (2006). Beyond accuracy, F-score and ROC: A family of discriminant measures for performance evaluation. Paper presented at the Australasian Joint Conference on Artificial Intelligence, 1015–1021.