In:Negation and Speculation Detection
Noa P. Cruz Díaz and Manuel J. Maña López
[Natural Language Processing 13] 2019
► pp. 43–51
Chapter 4Applications
Published online: 6 February 2019
https://doi.org/10.1075/nlp.13.c4
https://doi.org/10.1075/nlp.13.c4
This chapter is an in-depth description of the applications for which information about negation and speculation has proven to be useful. It presents several examples of tasks where accurate negation or speculation identification improves the results of the task in question, from information extraction to other less usual ones such as text watermarking detection.
Article outline
- 4.1Information extraction
- 4.2Sentiment analysis and opinion mining
- 4.3Recognising textual entailment
- 4.4Machine translation
- 4.5Information retrieval
- 4.6Other tasks
- 4.7Conclusions and chapter summary
- 4.8Further reading and relevant resources
Note Suggestions for further reading
References (7)
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Liu, B. (2015). Sentiment analysis: Mining opinions, sentiments, and emotions. Cambridge University Press.
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The tutorial given by Ido Dagan, DanRoth and Fabio Massimo Zanzotto at ACL 2007. <[URL]>
