Computational Linguistics

Organisational unit: Research Group

  1. 2017
  2. van Noord, R., & Bos, J. (2017). Dealing with Co-reference in Neural Semantic Parsing. In Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2) (Vol. 2, pp. 49-57). [6] Association for Computational Linguistics (ACL).
  3. Abzianidze, L., & Bos, J. (2017). Towards Universal Semantic Tagging. Paper presented at International Conference on Computational Semantics, Montpellier, France.
  4. Abzianidze, L. (2017). LangPro: Natural Language Theorem Prover. 115. Poster session presented at Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark.
  5. van Noord, R., & Bos, J. (2017). The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) (Vol. 11, pp. 929-933). Association for Computational Linguistics (ACL).
  6. Bjerva, J., & Östling, R. (2017). ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity. In Proceedings of SemEval 2017 (pp. 154-158). Stroudsburg, PA: Association for Computational Linguistics (ACL).
  7. Östling, R., & Bjerva, J. (2017). SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models. In Proceedings of the CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection Vancouver, Canada: Association for Computational Linguistics (ACL).
  8. van der Goot, R., & van Noord, G. (2017). Parser Adaptation for Social Media by Integrating Normalization. 491--497. Paper presented at Association for Computational Linguistics (ACL 2017), .
  9. Bjerva, J., & Östling, R. (2017). Cross-lingual Learning of Semantic Textual Similarity with Multilingual Word Representations. In J. Tiedemann (Ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa (pp. 211). [24] (Linköping Electronic Conference Proceedings). Linkoping UP.
  10. Bjerva, J. (2017). Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning. In J. Tiedemann (Ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa (pp. 216). [25] (Linköping Electronic Conference Proceedings). Linkoping UP.
  11. Veenstra, J., Wieling, M., & Horst, C. (2017). Efficacy of Automatic Speech Recognition software for congenitally blind speakers. Poster session presented at 5th International Winterschool Speech production and perception, Chorin, Germany.
  12. Toral Ruiz, A., & Sánchez-Cartagena, M. V. (2017). A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1063-1073). East Stroudsburg: Association for Computational Linguistics (ACL).
  13. Medvedeva, M., Haagsma, H., & Nissim, M. (2017). An Analysis of Cross-Genre and In-Genre Performance for Author Profiling in Social Media. In Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11–14, 2017, Proceedings (pp. 211-223). Springer. DOI: 10.1007/978-3-319-65813-1 21
  14. Bernardi, R., Cakici, R., Elliott, D., Erdem, A., Erdem, E., Ikizler-Cinbis, N., ... Plank, B. (2017). Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract). In IJCAI : proceedings of the conference : Proceedings of the International Joint Conference on Artificial Intelligence (Vol. 2017). IJCAI - International Joint Conferences on Artificial Intelligence.
  15. Wieling, M., Valls, E., Baayen, R. H., & Nerbonne, J. (2017). Border effects among Catalan dialects. In D. Speelman, K. Heylen, & D. Geeraerts (Eds.), Mixed Effects Regression Models in Linguistics (Quantitative Methods in the Humanities and Social Sciences). Springer.
  16. Zaal, E., Mills, G., Hagen, A., Huisman, C., & Hoeks, J. (2017). Convincing Conversations: Using a Computer-Based Dialogue System to Promote a Plant-Based Diet. In Proceedings of the Cognitive Science Conference (pp. 3627-3632)
  17. Evang, K. (2017). Cross-lingual Semantic Parsing with Categorial Grammars [Groningen]: Rijksuniversiteit Groningen
  18. Agić, Ž., Plank, B., & Søgaard, A. (2017). Cross-Lingual Tagger Evaluation Without Test Data. In EACL 2017 : 15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS East Stroudsburg: Association for Computational Linguistics (ACL).
  19. Wieling, M., & Montemagni, S. (2017). Exploring the role of extra-linguistic factors in defining dialectal variation patterns through cluster comparison. In From Semantics to Dialectometry: Festschrift in honor of John Nerbonne (pp. 241-251, chapter 25). (Tributes; Vol. 32). College Publications.
  20. Wieling, M., Kroon, M., van Noord, G., & Bouma, G. (Eds.) (2017). From Semantics to Dialectometry: Festschrift in honor of John Nerbonne. (Tributes; Vol. 32). UK: College Publications.
  21. Ruder, S., & Plank, B. (2017). Learning to select data for transfer learning with Bayesian Optimization. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing Association for Computational Linguistics (ACL).
  22. Manni, F. (2017). Linguistic probes into human history [Groningen]: University of Groningen
  23. Bjerva, J., Grigonyte, G., Östling, R., & Plank, B. (2017). Neural Networks and Spelling Features for Native Language Identification. In The 12th Workshop on Innovative Use of NLP for Building Educational Applications
  24. Basile, A., Dwyer, G., Medvedeva, M., Rawee, J., Haagsma, H., & Nissim, M. (2017). N-GrAM: New Groningen Author-profiling Model. Paper presented at Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland.
  25. Martínez Alonso, H., Agić, Ž., Plank, B., & Søgaard, A. (2017). Parsing Universal Dependencies without training. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, EACL, Long Papers East Stroudsburg: Association for Computational Linguistics (ACL).
  26. Medvedeva, M., Kroon, M., & Plank, B. (2017). Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages. In 15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2017) East Stroudsburg: Association for Computational Linguistics (ACL).
  27. Wieling, M., & Nerbonne, J. (2017). Statistics for Aggregate Variationist Analyses. In C. Boberg, J. Nerbonne, & D. Watt (Eds.), Handbook of Dialectology Boston: Wiley.
  28. Bos, J., Basile, V., Evang, K., Venhuizen, N., & Bjerva, J. (2017). The Groningen Meaning Bank. In N. Ide, & J. Pustejovsky (Eds.), Handbook of Linguistic Annotation Springer.
  29. 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)
  30. van der Goot, R., Plank, B., & Nissim, M. (2017). To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging. In The Third Workshop on Noisy User-generated Text (WNUT 2017): proceedings of the workshop Stroudsburg: Association for Computational Linguistics (ACL).
  31. Martínez Alonso, H., & Plank, B. (2017). When is multitask learning effective? Semantic sequence prediction under varying data conditions. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, EACL, Long Papers East Stroudsburg: Association for Computational Linguistics (ACL).
  32. 2016
  33. Bjerva, J. (2016). Byte-based Language Identification with Deep Convolutional Networks. In Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (pp. 119-125)
  34. Bjerva, J., & Börstell, C. (2016). Morphological Complexity Influences Verb-Object Order in Swedish Sign Language. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (pp. 137-141)
  35. Bjerva, J., Plank, B., & Bos, J. (2016). Semantic Tagging with Deep Residual Networks. In Semantic Tagging with Deep Residual Networks (pp. 3531-3541). (COLING). Osaka: Association for Computational Linguistics (ACL).
  36. Schutten, M., & Wiering, M. (2016). An Analysis on Better Testing than Training Performances on the Iris Dataset. In Belgian Dutch Artificial Intelligence Conference
  37. Nerbonne, J. (2016). Data from Non-standard Varieties. In S. Dipper, F. Neubarth, & H. Zinsmeister (Eds.), Proceedings of the 13th Conference on Natural Language Processing : (KONVENS 2016) (pp. 1-12). (Bochumer Linguistische Arbeitsbereichte; Vol. 16). Bochum.
  38. Busger op Vollenbroek, M., Carlotto, T., Kreutz, T., Medvedeva, M., Pool, C., Bjerva, J., ... Nissim, M. (2016). GronUP: Groningen User Profiling: Notebook for PAN at CLEF 2016. In K. Balog, L. Cappellato, N. Ferro, & C. Macdonald (Eds.), Working Notes of CLEF 2016 (pp. 846-857). (CEUR; Vol. 1609).
  39. Leinonen, T., Cöltekin, C., & Nerbonne, J. (2016). Using Gabmap. Lingua, 178, 71-83. DOI: 10.1016/j.lingua.2015.02.004
Previous 1 2 3 4 5 6 7 8 ...12 Next

ID: 14837821