Proyecto TAGFACTDel texto al conocimiento. Factualidad y grados de certeza en español

  1. Oliver, Sonia
  2. Vázquez García, Glòria
  3. Alonso Alemany, Laura
  4. Castellón Masalles, Irene
  5. Curell, Hortensia
  6. Fernández Montraveta, Ana
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2018

Issue: 61

Pages: 151-154

Type: Article

DIALNET GOOGLE SCHOLAR lock_openRUA editor

More publications in: Procesamiento del lenguaje natural

Abstract

The main aim of this project is to create a tool for the automatic annotation of factuality expressed in Spanish texts. We intend the representation to be very rich, so it will be carried out from three different perspectives: multilevel, multidimensional and multitextual. The multilevel analysis gives account of the various linguistic markers that express the degree of certainty of an event at the morphological and syntactic, as well as discourse, levels. The multidimensional analysis accounts for the varied number of voices that assess an event. Finally, the multitextual analysis will take into account the various texts about the same event, which is one of the most innovative aspects of our proposal.

Bibliographic References

  • Agirre, E., C. Baneab, C. Cardiec, D. Cerd, M. Diabe, A. González-Agirre, W. Guof, R. Mihalceab, G. Rigau y J. Wiebe. 2014. SemEval-2014 Task 10: Multilingual Semantic Textual Similarity. Proceedings of the 8th International Workshop on Semantic Evaluation, 81-91.
  • Björkelund, A. y J. Kuhn. 2014. Learning structured perceptrons for coreference resolution with latent antecedents and non-local features. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 47-57.
  • Durret, G. y D. Klein. 2013. Easy victories and uphill battles in coreference resolution. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1971-1982.
  • Farka, R., V. Vincze, G. Móra, J. Csirik y G. Szarvas. 2010. The CoNLL-2010 shared task: Learning to detect hedges and their scope in natural language text. Proceedings of the 14th CoNLL, 1-12.
  • Harkema, H., J. N. Dowling, T. Thornblade y W. W. Chapman. 2009. ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports. Journal of Biomedical Informatics, 42: 839-851.
  • Hendrickx, I., A. Mendes y S. Mencarelli. 2012. Modality in text: a proposal for corpus annotation. LREC 2012, Eighth International Conference on Language Resources and Evaluation, 1805-1812.
  • Light, M., X. Ying Qiu y P. Srinivasan. 2004. The language of bioscience: Facts, speculations, and statements in between. En L. Hirschman y J. Pustejovsky (Eds.), HLT-NAACL 2004 Workshop: BioLINK 2004, Linking Biological Literature, Ontologies and Databases, 17-24.
  • Marneffe, M. C., C. D. Manning y C. Potts. 2012. Did it happen? The pragmatic complexity of veridicality assessment. Computational Linguistics 38-2:301-333.
  • Medlock, B. y T. Briscoe. 2007. Weakly supervised learning for hedge classification in scientific literature. Proceedings of the 45th ACL, 992-999.
  • Morante, R., V. Van Asch and W. Daelemans. 2010. Extraction of biomedical events. LOT Occasional Series, 16. 91-105.
  • Morante, R. y W. Daelemans. 2012. Annotating Modality and Negation for a Machine Reading Evaluation. CLEF 2012 Evaluation Labs and Workshop Online Working Notes. Disponible en: http://www.clefinitiative.eu/documents/71612/463956e9-2b22-4e68-aa39-b711302c97b1
  • Nawaz, R., P. Thompson y S. Ananiadou. 2010. Evaluating a metaknowledge annotation scheme for bio-events. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 69-77.
  • Palmer, F. R. 2004. Mood and Modality. Cambridge: Cambridge University Press.
  • Quirk, R., S. Greenbaum, G. Leech and J. Svartvik. 1985. A Comprehensive Grammar of the English Language. London: Longman.
  • Repiso, I. 2015. Talking about counterfactual worlds. A comparative study of French and Spanish. Journal of Romance Studies 15-1,52-72.
  • Rupenhofer, J. e I. Rehbein. 2012. Annotating the senses of the English modal verbs. LREC 2012, Eighth International Conference on Language Resources and Evaluation, 1538-1545.
  • Sauri, R. 2008. A Factuality Profiler for Eventualities in Text. Ph.D. Thesis. Brandeis University.
  • Tang, B., X. Wang, X. Wang, B. Yuan y S. Fan. 2010. A cascade method for detecting hedges and their scope in natural language text. In Proceedings 14th CoNLL, 13-17.
  • Van Son, C., M. van Erp, A. Fokkens y P. Vossen. 2014. Hope and Fear: Interpreting Perspectives by Integrating Sentiment and Event Factuality. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, 26-31.
  • Velupillai, S. 2011. Automatic classification of factuality levels. A case study on Swedish diagnoses and the impact of local context. En A. Moen, S. K. Andersen, J. Aarts y P. Hurlen (Eds.) Proceedings of the XXIII International Conference of the European Federation for Medical Informatics. User Centred Networked Health Care, Oslo: IOS Press, 559-563.
  • Vincze, V., G. Szarvas, R. Farkas, G. Móra y J. Csirik. 2008. The BioScope corpus: Biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinformatics, 9, 38-45.
  • Wonsever, D., A. Rosá y M. Malcuori. 2016. Factuality annotation and learning in Spanish texts. Proceedings of Language Resources and Evaluation, 2076-2080.
  • Wu, A. S., B. H. Do, J. Kim y D. Rubin. 2009. Evaluation of negation and uncertainty detection and its impact on precision and recall in search. Journal of Digital Imaging, 24(2): 234-242.
Data source: Dialnet