Have a personal or library account? Click to login

Annotation of the Evaluative Language in a Dependency Treebank

Open Access
|Jan 2018

References

  1. [1] Bojar, O. and Žabokrtský, Z. (2006). CzEng: Czech-English Parallel Corpus release version 0.5. Prague Bulletin of Mathematical Linguistics, 86:59–62.
  2. [2] Choi, Y. and Cardie, C. (2008). Learning with compositional semantics as structural inference for subsentential sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 793–801, Association for Computational Linguistics, Honolulu, Hawaii.10.3115/1613715.1613816
  3. [3] Hajič, J. (2005). Complex corpus annotation: The Prague dependency treebank. Insight into Slovak and Czech Corpus Linguistics, pages 54–73, Veda, Bratislava.
  4. [4] Moilanen, K. and Pulman, S. (2007). Sentiment composition. In: Proceedings of RANLP, pages 378–382, Borovets, Bulgaria.
  5. [5] Nakagawa, T., Kentaro, I., and Kurohashi, S. (2010). Dependency tree-based sentiment classification using CRFs with hidden variables. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Los Angeles, California, USA.
  6. [6] Rentoumi, V., Petrakis, S., Klenner, M., Vouros, G. A., and Karkaletsis, V. (2010). United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC), pages 1089–1094, Valletta, Malta.
  7. [7] Socher, R., Perelygin, A., Wu, J. Y., Chuang, J., Manning, C. D., Ng, A. Y., and Potts, C. (2013). Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the conference on empirical methods in natural language processing (EMNLP), Vol. 1631, pages 1642–1653.10.18653/v1/D13-1170
  8. [8] Šindlerová, J., Veselovská, K. and Hajič, J. jr. (2014). Tracing Sentiments: Syntactic and Semantic Features in a Subjectivity Lexicon. In Proceedings of the 16th EURALEX International Congress, pages 405–413, Bolzano/Bozen, Italy.
  9. [9] Veselovská, K., Hajič, J. jr., and Šindlerová, J. (2012). Creating annotated resources for polarity classification in Czech. In Proceedings of KONVENS 2012 (PATHOS 2012 Workshop), pages 296–304.
  10. [10] Wilson, T., Wiebe, J., and Hoffmann, P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the conference on human language technology and empirical methods in natural language processing, pages 347–354, Association for Computational Linguistics, Vancouver, British Columbia, Canada.10.3115/1220575.1220619
DOI: https://doi.org/10.1515/jazcas-2017-0043 | Journal eISSN: 1338-4287 | Journal ISSN: 0021-5597
Language: English
Page range: 336 - 345
Published on: Jan 24, 2018
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2018 Jana Šindlerová, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.