In:Negation and Speculation Detection
Noa P. Cruz Díaz and Manuel J. Maña López
[Natural Language Processing 13] 2019
► pp. 7–26
Chapter 2Negation
Published online: 6 February 2019
https://doi.org/10.1075/nlp.13.c2
https://doi.org/10.1075/nlp.13.c2
Chapter 2 is an overview of the concept of negation and the major topics concerning it, including a classification of the different types of negation. In addition, this chapter analyses the most relevant negation detection systems found in the literature, showing that this task has been an active research area during recent years in the NLP community.
Article outline
- 2.1Definition of negation
- 2.2Types of negation
- 2.3Negation detection
- 2.3.1Rule-based approaches
- 2.3.2Machine learning based systems
- 2.3.3Hybrid approaches
- 2.3.4Deep learning
- 2.3.5Other works
- 2.4Conclusions and chapter summary
- 2.5Further reading and relevant resources
Notes Suggestions for further reading
References (10)
Cheng, K., Baldwin, T., & Verspoor, K. (2017). Automatic Negation and Speculation Detection in Veterinary Clinical Text. In Proceedings of the Australasian Language Technology Association Workshop 2017 (pp.70–78).
Horn, L. R. (1989). A natural history of negation. Chicago: University of Chicago Press.
Martí, M. A., Taulé, M., Nofre, M., Marsó, L., Martín-Valdivia, M. T., & Jiménez-Zafra, S. M. (2016). La negación en español: análisis y tipología de patrones de negación. Procesamiento del Lenguaje Natural, (57), 41–48.
van Miltenburg, E., Morante, R., & Elliott, D. (2016). Pragmatic factors in image description: the case of negations. arXiv preprint arXiv:1606.06164.
van Miltenburg, E., Elliott, D., & Vossen, P. (2017). Cross-linguistic differences and similarities in image descriptions. arXiv preprint arXiv:1707.01736.
Morante, R., & Sporleder, C. (2012). Modality and negation: An introduction to the special issue. Computational Linguistics,
38
(2), 223–260.
The tutorial given by Noa Cruz at RANLP 2017 focused on negation in the biomedical domain. <[URL]>.