L. (Lasha) Abzianidze, PhD

postdoc researcher


  1. 2018
  2. van Noord, R., Abzianidze, L., Haagsma, H., & Bos, J. (2018). Evaluating Scoped Meaning Representations. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (pp. 1685-1693). Paris: European Language Resources Association (ELRA).
  3. Abdou, M., Kulmizev, A., Ravishankar, V., Abzianidze, L., & Bos, J. (2018). What can we learn from Semantic Tagging?. Paper presented at 2018 Conference on Empirical Methods in Natural Language Processing , Brussels, Belgium.
  4. 2017
  5. Abzianidze, L., & Bos, J. (2017). Towards Universal Semantic Tagging. Paper presented at International Conference on Computational Semantics, Montpellier, France.
  6. Abzianidze, L. (2017). LangPro: Natural Language Theorem Prover. 115-120. Paper presented at Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark.
  7. Abzianidze, L., Bjerva, J., Evang, K., Haagsma, H., van Noord, R., Ludmann, P., ... Bos, J. (2017). The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics : Volume 2, Short Papers (pp. 242-247)
  8. 2016
  9. Abzianidze, L. (2016). Natural Solution to FraCaS Entailment Problems. In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics (*SEM 2016) (pp. 64-74). Stroudsburg, Pennsylvania: Association for Computational Linguistics (ACL).
  10. 2015
  11. Abzianidze, L. (2015). A Pure Logic-Based Approach to Natural Reasoning. In Proceedings of the 20 th Amsterdam Colloquium (pp. 40-49). University of Amsterdam.
  12. Abzianidze, L. (2015). A Tableau Prover for Natural Logic and Language. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 2492–2502). Association for Computational Linguistics (ACL).
  13. Abzianidze, L. (2015). Towards a Wide-Coverage Tableau Method for Natural Logic. In New Frontiers in Artificial Intelligence: JSAI-isAI 2014 (Vol. 9067, pp. 66-82). (LNCS).

ID: 35058470