| Representation of linguistic form and function in recurrent neural networks A Kádár, G Chrupała, A Alishahi Computational Linguistics 43 (4), 761-780, 2017 | 188 | 2017 |
| Learning morphology with Morfette G Chrupała, G Dinu, J Van Genabith LREC, 2008 | 183 | 2008 |
| Representations of language in a model of visually grounded speech signal G Chrupała, L Gelderloos, A Alishahi Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 154 | 2017 |
| Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop A Alishahi, G Chrupała, T Linzen Natural Language Engineering 25 (4), 543–557, 2019 | 98 | 2019 |
| Normalizing tweets with edit scripts and recurrent neural embeddings G Chrupała Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 94 | 2014 |
| Learning language through pictures G Chrupała, A Kádár, A Alishahi Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 86 | 2015 |
| Question Quality in Community Question Answering Forums: A Survey A Baltadzhieva, G Chrupała ACM SIGKDD Explorations Newsletter, 2015 | 85 | 2015 |
| Correlating neural and symbolic representations of language G Chrupała, A Alishahi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 84 | 2019 |
| Encoding of phonology in a recurrent neural model of grounded speech A Alishahi, M Barking, G Chrupała Conference on Computational Language Learning, 2017 | 77 | 2017 |
| Simple data-driven context-sensitive lemmatization G Chrupała Procesamiento del lenguaje natural 37, 121-127, 2006 | 76 | 2006 |
| The quantitative analysis of translation flows in the age of an international language A Pym, G Chrupała Less Translated Languages. Amsterdam and Philadelphia: Benjamins, 27-38, 2005 | 75 | 2005 |
| Predicting the quality of questions on Stackoverflow A Baltadzhieva, G Chrupała Proceedings of the International Conference Recent Advances in Natural …, 2015 | 72 | 2015 |
| Elephant: Sequence Labeling for Word and Sentence Segmentation K Evang, V Basile, G Chrupała, J Bos Empirical Methods in Natural Language Processing, 2013 | 72* | 2013 |
| Hierarchical recognition of propositional arguments with perceptrons X Carreras, L Màrquez, G Chrupała Proceeding of CoNLL’2004 Shared Task, 2004 | 60 | 2004 |
| Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques G Chrupała Journal of Artificial Intelligence Research 73, 673-707, 2022 | 53 | 2022 |
| Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP T Linzen, G Chrupała, A Alishahi Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 50* | 2018 |
| Lemmatization and lexicalized statistical parsing of morphologically rich languages: the case of French D Seddah, G Chrupała, Ö Çetinoğlu, J van Genabith, M Candito Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of …, 2010 | 50* | 2010 |
| Text segmentation with character-level text embeddings G Chrupała ICML Workshop on Deep Learning for Audio, Speech and Language Processing, 2013 | 45 | 2013 |
| Quantifying Context Mixing in Transformers H Mohebbi, W Zuidema, G Chrupała, A Alishahi Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 44 | 2023 |
| Efficient induction of probabilistic word classes with LDA G Chrupała International Joint Conference on Natural Language Processing, 2011 | 43 | 2011 |
afra alishahiTilburg UniversityVerified email at uvt.nl
