Computational Linguistics

University of Groningen > Faculty of Arts > Center for Language and Cognition > Computational Linguistics

  1. 2017
  2. Berends, S., Wieling, M., Sprenger, S., Brouwer, S., & Schmid, M. (2017). How to analyse age effects in electrophysiological signatures of second language grammar processing. Poster session presented at COM 2017, Groningen, Netherlands.
  3. van Noord, R., & Bos, J. (2017). Dealing with Co-reference in Neural Semantic Parsing. In D. Gromann, T. Declerck, & G. Heigl (Eds.), Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2) (Vol. 2, pp. 49-57). [6] Association for Computational Linguistics (ACL).
  4. Abzianidze, L., & Bos, J. (2017). Towards Universal Semantic Tagging. Paper presented at International Conference on Computational Semantics, Montpellier, France.
  5. Abzianidze, L. (2017). LangPro: Natural Language Theorem Prover. 115-120. Poster session presented at Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark.
  6. 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).
  7. Sjons, J., Hörberg, T., Östling, R., & Bjerva, J. (2017). Articulation rate in Swedish child-directed speech increases as a function of the age of the child even when surprisal is controlled for. In Proceedings of Interspeech 2017
  8. 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).
  9. 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).
  10. 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), .
  11. 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.
  12. 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.
  13. Nerbonne, J. (2017). Humanities, Exactly! / Letteren, exact! Groningen: University of Groningen. Faculty of Arts.
  14. Bouma, G., & van Noord, G. (2017). Increasing return on annotation investment: the automatic construction of a Universal Dependency treebank for Dutch. In Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017) (pp. 19-26). [W17-0403 ]
  15. 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.
  16. 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).
  17. 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
  18. Wieling, M., Sivaraman, G., & Espy-Wilson, C. (2017). Analysis of acoustic-to-articulatory speech inversion across different accents and languages. In Proceedings of Interspeech (pp. 974-978)
  19. Wieling, M., Veenstra, J., Adank, P., & Tiede, M. (2017). Articulatory differences between L1 and L2 speakers of English. In Proceedings of the 11th International Seminar on Speech Production Tianjin, China.
  20. 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.
  21. 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.
  22. 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)
  23. Evang, K. (2017). Cross-lingual Semantic Parsing with Categorial Grammars [Groningen]: Rijksuniversiteit Groningen
  24. 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).
  25. Oele, D., & van Noord, G. (2017). Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation. In C. Gardent, & C. Retoré (Eds.), IWCS 2017 — 12th International Conference on Computational Semantics : Short papers [W17-6931]
  26. 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.
  27. 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.
  28. van Noord, G. (2017). How to compare speed and accuracy of syntactic parsers. In H. Reckman, L. L. S. Cheng, M. Hijzelendoorn, & R. Sybesma (Eds.), Crossroads Semantics. Computation, experiment and grammar. (pp. 57-76). John Benjamins Publishers. DOI: 10.1075/z.210.04van
  29. Cimino, A., Wieling, M., Dell'Orletta, F., Montemagni, S., & Venturi, G. (2017). Identifying Predictive Features for Textual Genre Classification: the Key Role of Syntactic Features. In Proceedings of the Fourth Italian Conference on Computational Linguistics
  30. Bos, J. (2017). Indexicals and Compositionality: Inside-Out or Outside-In?. 31-36. Paper presented at International Conference on Computational Semantics, Montpellier, France.
  31. 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).
  32. Manni, F. (2017). Linguistic probes into human history [Groningen]: University of Groningen
  33. de Kok, D., & van Noord, G. (2017). Mining for Parsing Failures. In M. wieling, M. Kroon, G. van Noord, & G. Bouma (Eds.), From Semantics to Dialectometry. Festschrift in honor of John Nerbonne. [19] College Publications.
  34. 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
  35. 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.
  36. Bjerva, J. (2017). One Model to Rule them All: Multitask and Multilingual Modelling for Lexical Analysis [Groningen]: Rijksuniversiteit Groningen
  37. 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).
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