Publications of interest
2018
Jiménez-Zafra, S. M., Martín-Valdivia, M. T., Molina-González, M. D., & Ureña-
López, L. A. (2018). Relevance of the SFU Review SP-NEG corpus annotated with the
scope of negation for supervised polarity classification in Spanish. Information
Processing & Management, 54(2), 240-251.
https://doi.org/10.1016/j.ipm.2017.11.007
Kolhatkar, V., Wu, H., Cavasso, L., Francis, E., Shukla, K., & Taboada, M. (2018). The
SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News
Comments.
http://www.sfu.ca/~mtaboada/docs/publications/Kolhatkar_etal_SOCC.pdf
2017
Cruz, N., Morante, R., López, M. J. M., Vázquez, J. M., & Calderón, C. L. P. (2017).
Annotating Negation in Spanish Clinical Texts. In Proceedings of the Workshop
Computational Semantics Beyond Events and Roles (pp. 53-58).
http://www.aclweb.org/anthology/W17-1808
Jiménez-Zafra, S. M., Taulé, M., Martín-Valdivia, M. T., Ureña-López, L. A., & Martí,
M. A. (2017). SFU ReviewSP-NEG: a Spanish corpus annotated with negation for
sentiment analysis. A typology of negation patterns. Language Resources and
Evaluation, 1-37.
https://doi.org/10.1007/s10579-017-9391-x
Jimenez-Zafra, S. M., Valdivia, M. T. M., Camara, E. M., & Urena-Lopez, L. A.
(2017). Studying the Scope of Negation for Spanish Sentiment Analysis on Twitter.
IEEE Transactions on Affective Computing.
https://doi.org/10.1109/TAFFC.2017.2693968
2016
Cotik, V., Stricker, V., Vivaldi, J., & Rodriguez, H. (2016). Syntactic methods for
negation detection in radiology reports in Spanish. In Proceedings of the 15th Workshop
on Biomedical Natural Language Processing (pp. 156-165).
http://www.aclweb.org/anthology/W16-2921
Cruz, N. P., Taboada, M., & Mitkov, R. (2016). A machine‐learning approach to
negation and speculation detection for sentiment analysis. Journal of the Association for
Information Science and Technology, 67(9), 2118-2136.
https://doi.org/10.1002/asi.23533
Jiménez-Zafra, S. M., Martin, M., Lopez, L. A. U., Marti, T., & Taulé, M. (2016).
Problematic cases in the annotation of negation in Spanish. In Proceedings of the
Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
(ExProM) (pp. 42-48).
http://www.aclweb.org/anthology/W16-5006
Martí, M. A., Martín-Valdivia, M. T., Taulé, M., Jiménez-Zafra, S. M., Nofre, M., &
Marsó, L. (2016). La negación en español: análisis y tipología de patrones de negación.
Procesamiento del Lenguaje Natural, 57, 41-48.
http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/5335
Sarabi, Z., & Blanco, E. (2016). Understanding Negation in Positive Terms Using
Syntactic Dependencies. In Proceedings of the 2016 Conference on Empirical Methods
in Natural Language Processing (pp. 1108-1118).
http://www.aclweb.org/anthology/D16-1119
2015
Jiménez-Zafra, S. M., Martínez-Cámara, E., Martín-Valdivia, M. T., & Molina-
González, M. D. (2015). Tratamiento de la Negación en el Análisis de Opiniones en
Español. Procesamiento del Lenguaje Natural, 54, 37-44.
http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/5092
Vilares, D., Alonso, M. A., & Gómez-Rodríguez, C. (2015). A syntactic approach for
opinion mining on Spanish reviews. Natural Language Engineering, 21(1), 139-163.
https://doi.org/10.1017/S1351324913000181
2014
Blanco, E., & Moldovan, D. (2014). Retrieving implicit positive meaning from negated
statements. Natural Language Engineering, 20(4), 501-535.
https://doi.org/10.1017/S1351324913000041
Cruz Díaz, N. P. (2015). Negation and speculation detection in clinical and review texts.
http://www.sepln.org/wp-content/uploads/2014/09/NEGATION- AND-
SPECULATION-Q9.pdf
2013
Vilares, D., Alonso, M. A., & Gómez-Rodríguez, C. (2013). Clasificación de polaridad
en textos con opiniones en español mediante análisis sintáctico de dependencias.
Procesamiento del lenguaje natural, 50, 13-20.
http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/4701/2774
2012
Cruz Díaz, N. P., Maña López, M. J., Vázquez, J. M., & Álvarez, V. P. (2012). A
machine‐learning approach to negation and speculation detection in clinical texts.
Journal of the Association for Information Science and Technology, 63(7), 1398-1410.
https://doi.org/10.1002/asi.22679
Konstantinova, N., De Sousa, S. C., Díaz, N. P. C., López, M. J. M., Taboada, M., &
Mitkov, R. (2012, May). A review corpus annotated for negation, speculation and their
scope. In Lrec (pp. 3190-3195).
http://lrec.elra.info/proceedings/lrec2012/pdf/533_Paper.pdf
Morante, R., & Blanco, E. (2012, June). * SEM 2012 shared task: Resolving the scope
and focus of negation. In Proceedings of the First Joint Conference on Lexical and
Computational Semantics-Volume 1: Proceedings of the main conference and the
shared task, and Volume 2: Proceedings of the Sixth International Workshop on
Semantic Evaluation (pp. 265-274). Association for Computational Linguistics.
http://www.aclweb.org/anthology/S12-1035
Morante, R., & Daelemans, W. (2012). ConanDoyle-neg: Annotation of negation in
Conan Doyle stories. In Proceedings of the Eighth International Conference on
Language Resources and Evaluation, Istanbul.
http://www.lrec-conf.org/proceedings/lrec2012/pdf/221_Paper.pdf
Morante, R., & Sporleder, C. (2012). Modality and negation: An introduction to the
special issue. Computational linguistics, 38(2), 223-260.
https://doi.org/10.1162/COLI_a_00095
Velldal, E., Øvrelid, L., Read, J., & Oepen, S. (2012). Speculation and negation: Rules,
rankers, and the role of syntax. Computational linguistics, 38(2), 369-410.
https://doi.org/10.1162/COLI_a_00126
2011
Blanco, E., & Moldovan, D. I. (2011, March). Some Issues on Detecting Negation from
Text. In FLAIRS Conference (pp. 228-233).
https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS11/paper/viewFile/2629/3031
Blanco, E., & Moldovan, D. (2011, June). Semantic representation of negation using
focus detection. In Proceedings of the 49th Annual Meeting of the Association for
Computational Linguistics: Human Language Technologies-Volume 1 (pp. 581-589).
Association for Computational Linguistics.
https://aclanthology.info/pdf/P/P11/P11-1059.pdf
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011). Lexicon-based
methods for sentiment analysis. Computational linguistics, 37(2), 267-307.
https://doi.org/10.1162/COLI_a_00049
2010
Morante, R., Van Asch, V., & Daelemans, W. (2010, July). Memory-based resolution of
in-sentence scopes of hedge cues. In Proceedings of the Fourteenth Conference on
Computational Natural Language Learning-- -Shared Task (pp. 40-47). Association for
Computational Linguistics.
http://www.aclweb.org/anthology/W10-3006
Wiegand, M., Balahur, A., Roth, B., Klakow, D., & Montoyo, A. (2010, July). A survey
on the role of negation in sentiment analysis. In Proceedings of the workshop on
negation and speculation in natural language processing (pp. 60-68). Association for
Computational Linguistics.
https://aclanthology.info/pdf/W/W10/W10-3111.pdf
2009
Morante, R., & Daelemans, W. (2009, June). A metalearning approach to processing the
scope of negation. In Proceedings of the Thirteenth Conference on Computational
Natural Language Learning (pp. 21-29). Association for Computational Linguistics.
https://aclanthology.info/pdf/W/W09/W09-1105.pdf
Morante, R., & Daelemans, W. (2009, June). Learning the scope of hedge cues in
biomedical texts. In Proceedings of the Workshop on Current Trends in Biomedical
Natural Language Processing (pp. 28-36). Association for Computational Linguistics.
http://www.aclweb.org/anthology/W09-1304
2008
Morante, R., Liekens, A., & Daelemans, W. (2008, October). Learning the scope of
negation in biomedical texts. In Proceedings of the Conference on Empirical Methods
in Natural Language Processing (pp. 715-724). Association for Computational
Linguistics.
https://aclanthology.info/pdf/D/D08/D08-1075.pdf
Vincze, V., Szarvas, G., Farkas, R., Móra, G., & Csirik, J. (2008). The BioScope
corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC
bioinformatics, 9(11), S9.
https://doi.org/10.1186/1471-2105-9-S11-S9
2001
Chapman, W. W., Bridewell, W., Hanbury, P., Cooper, G. F., & Buchanan, B. G. (2001). A simple algorithm for identifying negated findings and diseases in discharge summaries. Journal of biomedical informatics, 34(5), 301-310.https://doi.org/10.1006/jbin.2001.1029