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Negation and Speculation Detection
Noa P. Cruz Díaz and Manuel J. Maña López
[Natural Language Processing 13] 2019
► pp. 43–51

Chapter 4
Applications

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

Suggestions for further reading

Harabagiu, S., Hickl, A., & Lacatusu, F.
(2006) Negation, contrast and contradiction in text processing. Paper presented at the AAAI , 6, 755–762.
Joshi, A., Bhattacharyya, P., & Carman, M. J.
(2017) Automatic sarcasm detection: A survey. ACM Computing Surveys (CSUR), 50(5), 73.DOI logoGoogle Scholar
Kim, J. J., Zhang, Z., Park, J. C., & Ng, S. K.
(2005) BioContrasts: extracting and exploiting protein–protein contrastive relations from biomedical literature. Bioinformatics, 22(5), 597–605.Google Scholar
Liu, B.
(2015) Sentiment analysis: Mining opinions, sentiments, and emotions. Cambridge University Press.DOI logoGoogle Scholar
Mohammad, S. M.
(2016) Sentiment analysis: Detecting valence, emotions, and other affectual states from text. In Emotion measurement (pp.201–237).Google Scholar
Reyes, A., & Rosso, P.
(2014) On the difficulty of automatically detecting irony: Beyond a simple case of negation. Knowledge and Information Systems, 40(3), 595–614. DOI logo
The tutorial given by Ido Dagan, DanRoth and Fabio Massimo Zanzotto at ACL 2007 [URL]