• Warandelaan 2, Dante Building, room D 326

    5037 AB Tilburg

    Netherlands

Accepting PhD Students

19982019
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Research Output 1998 2019

Acquiring verb subcategorization from spanish corpora

Chrupala, G., 2003

Research output: Other contributionOther research output

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Alishahi, A., Chrupala, G. & Linzen, T., 31 Jul 2019, In : Natural Language Engineering. 25, 4, p. 543-557

Research output: Contribution to journalArticleScientific

A Named Entity Labeler for German: exploiting Wikipedia and distributional clusters

Chrupala, G. & Klakow, D., 2010, Proceedings of the Conference on International Language Resources and Evaluation (LREC). p. 552-556 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Application of the Naive Bayes Classifier for Representation and Use of Heterogeneous and Incomplete Knowledge in Social Robotics

Trovato, G., Chrupala, G. & Takanishi, A., 22 Feb 2016, In : Robotics. 5, 1

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Robotics
Classifiers
Robots
Human robot interaction
Experiments

Architectures and representations for string transduction

Chrupala, G., 2015.

Research output: Contribution to conferenceAbstractOther research output

Recurrent neural networks
Labeling
Long short-term memory

Attribute Obfuscation with Gradient Reversal

Emmery, C., Manjavacas, E. & Chrupala, G., Jan 2018.

Research output: Contribution to conferenceAbstractOther research output

Open Access
Computational methods
Classifiers
Education
Health
Economics

Better training for function labeling

Chrupala, G. A., 2007, Proceedings of Recent Advances in Natural Language Processing.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Concurrent acquisition of word meaning and lexical categories

Alishahi, A. & Chrupala, G. A., 2012, Proceedings of the Conference on Empirical Methods on Natural Language Processing and Computational Natural Language Learning. Stroudsburg: Association for Computational Linguistics, p. 643-654

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Correlating Neural and Symbolic Representations of Language

Chrupala, G. & Alishahi, A., 1 Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence, Italy: Association for Computational Linguistics, p. 2952-2962 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Chemical activation
Semantics
Deep learning

DCU-UVT. Word-Level Language Classification with Code-Mixed Data

Barman, U., Wagner, J., Chrupala, G. & Foster, J., 2014, First Workshop on Computational Approaches to Code Switching. Association for Computational Linguistics (ACL), p. 127-132 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Support vector machines
Glossaries
Experiments

Efficient induction of probabilistic word classes with LDA

Chrupala, G., 2011, International Joint Conference on Natural Language Processing.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Elephant: Sequence labeling for word and sentence segmentation

Evang, K., Basile, V., Chrupala, G. & Bos, J., 2013

Research output: Non-textual formSoftwareOther research output

Supervised learning
Labeling
Pipelines

Elephant: Sequence Labeling for Word and Sentence Segmentation

Evang, K., Basile, V., Chrupala, G. & Bos, J., 2013, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Seattle, Washington, USA: Association for Computational Linguistics (ACL), p. 1422-1426

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Labeling

Emergence of language structures from exposure to visually grounded speech signal

Chrupala, G., Alishahi, A. & Gelderloos, L., 2017.

Research output: Contribution to conferenceAbstractOther research output

Recurrent neural networks
Network architecture
Linguistics
Semantics
Neural networks

Encoding of phonology in a recurrent neural model of grounded speech

Alishahi, A., Barking, M. & Chrupala, G., 2017, Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). Levy, R. & Specia, L. (eds.). Vancouver, Canada: Association for Computational Linguistics, p. 368-378 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Recurrent neural networks
Linguistics
Decoding
Chemical activation
Semantics

Enriched syntax-based meaning representation for answer extraction

Chrupala, G., Dinu, G. & Roth, B., 2010, SIGIR Workshop: Query Representation and Understanding.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning

Gelderloos, L. J. & Chrupala, G., 2016, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. International Committee on Computational Linguistics, p. 1309-1319 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Recurrent neural networks
Linguistics

Generalizing from Freebase and Patterns using Distant Supervision for Slot Filling

Roth, B., Chrupala, G., Wiegand, M. & Singh, M., 2012, Text Analysis Conference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Hierarchical clustering of word class distributions

Chrupala, G. A., 2012, Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure, Montreal. Cohn, T., Blunsom, P. & Graca, J. (eds.). Stroudsburg: Association for Computational Linguistics, p. 100-104

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Hierarchical recognition of propositional arguments with perceptrons

Carreras, X., Màrquez, L. & Chrupala, G., 2004, Proceedings of CoNLL’2004 Shared Task.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Improving treebank-based automatic LFG induction for Spanish

Chrupala, G. A., 2006, Proceedings of the LFG '06 Conference. CSLI Publications

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Induced lexical categories enhance cross-situational learning of word meanings

Alishahi, A. & Chrupala, G., 2014.

Research output: Contribution to conferenceAbstractOther research output

Semantics
Linguistics
Gold
Statistics
Experiments

Language-agnostic processing of microblog data with text embeddings

Chrupala, G., 2014.

Research output: Contribution to conferencePosterOther research output

Labeling
Processing
Recurrent neural networks
Pipelines
Internet

Learning character-wise text representations with Elman nets

Chrupala, G., 2014.

Research output: Contribution to conferenceAbstractOther research output

Recurrent neural networks
Chemical activation
Computational linguistics
Feedforward neural networks
Supervised learning

Learning from evolving data streams: Online triage of bug reports

Chrupala, G. A., 2012, Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. Daelemans, W. (ed.). Stroudsburg, U.S.A.: Association for Computational Linguistics, p. 613-622

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

163 Downloads (Pure)

Learning language through pictures

Chrupala, G., Kadar, A. & Alishahi, A., 2015, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Zong, C. & Strube, M. (eds.). Beijing, China: Association for Computational Linguistics, p. 112-118 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
Semantics

Learning morphology with Morfette

Chrupala, G. A., Dinu, G. & van Genabith, J., 2008, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Learning text representations from character-level data

Chrupala, G. A., 2013, Book of abstracts of the 23rd meeting of computational linguistics in the Netherlands (CLIN). Theune, M. & Nijholt, A. (eds.). Enschede: Universiteit Twente, p. 18

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Learning to normalize text from few examples

Chrupala, G., 2014.

Research output: Contribution to conferenceAbstractOther research output

normalization
dictionary
learning
supervision
62 Downloads (Pure)

Learning word meanings from images of natural scenes

Kadar, A., Alishahi, A. & Chrupala, G., 2015, In : Traitement Automatique des Langues.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Lemmatization and lexicalized statistical parsing of morphologically rich languages: the case of French

Chrupala, G. A., 2010, Statistical Parsing of Morphologically Rich Languages Workshop. Association for Computational Linguistics

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Lessons Learned in Multilingual Grounded Language Learning

Kádár, Á., Elliott, D., Côte, M-A., Chrupala, G. & Alishahi, A., 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics, p. 402-412 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Lexical category acquisition as an incremental process

Alishahi, A. & Chrupala, G., 2009, Proceedings of the CogSci 2009 Workshop on Psycho Computational Models of Human Language Acquisition.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Linguistic Analysis of Multi-Modal Recurrent Neural Networks

Kadar, A., Chrupala, G. & Alishahi, A., 2015.

Research output: Contribution to conferenceAbstractOther research output

Open Access

Modeling relations in a referential game

Gelderloos, L., Alishahi, A., Chrupala, G. & Fernández, R., 2017.

Research output: Contribution to conferenceAbstractOther research output

Electric grounding
Computer vision
Processing

Morfette: A tool for supervised learning of morphology

Chrupala, G., 2010

Research output: Non-textual formSoftwareOther research output

Multimodal Semantic Learning from Child-Directed Input

Lazaridou, A., Chrupala, G., Fernández, R. & Baroni, M., Jun 2016, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, p. 387-392

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Linguistics
Semantics

Normalizing tweets with edit scripts and recurrent neural embeddings

Chrupala, G., 2014, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Toutanova, K. & Wu, H. (eds.). Short Papers ed. Baltimore, Maryland: Association for Computational Linguistics (ACL), Vol. 2. p. 680-686

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Online entropy-based model of lexical category acquisition

Chrupala, G. & Alishahi, A., 2010, Fourteenth Conference on Computational Natural Language Learning. p. 182-191 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

On the difficulty of a distributional semantics of spoken language

Chrupała, G., Gelderloos, L., Kádár, Á. & Alishahi, A., 2019, Proceedings of the Society for Computation in Linguistics. Vol. 2.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
Semantics
Unsupervised learning
Speech processing

Perl Scripting in Translation Project Management

Chrupala, G., 2003, In : Across Languages and Cultures. 4, 1, p. 109-132 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Predicting the quality of questions on Stackoverflow

Baltadzhieva, A. & Chrupala, G., 2015, Proceedings of Recent Advances in Natural Language Processing. Angelova, G., Bontcheva, K. & Mitkov, R. (eds.). p. 32-40 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access

Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Linzen, T., Chrupala, G. & Alishahi, A., 1 Nov 2018, Brussels, Belgium: Association for Computational Linguistics.

Research output: Book/ReportBook editingScientificpeer-review

Open Access

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Linzen, T., Chrupala, G., Belinkov, Y. & Hupkes, D., 1 Aug 2019, Florence, Italy: Association for Computational Linguistics.

Research output: Book/ReportBook editingScientificpeer-review

Open Access
267 Downloads (Pure)

Question Quality in Community Question Answering Forums: A survey

Baltadzhieva, A. & Chrupala, G., 2015, In : ACM SIGKDD Explorations Newsletter. 17, 1, p. 8-13

Research output: Contribution to journalArticleScientific

Open Access
File
website
community
experience

Relatedness curves for acquiring paraphrases

Dinu, G. & Chrupala, G., 2010, Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics. p. 27-32 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population

Roth, B., Barth, T., Chrupala, G., Gropp, M. & Klakow, D., 2014, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. Wintner, S., Goldwater, S. & Rielzler, S. (eds.). Gothenburg, Sweden: Association for Computational Linguistics (ACL), p. 89-92 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

RelationFactory: End-to-end relation extraction and knowledge base population pipeline

Roth, B., Barth, T., Chrupala, G., Gropp, M. & Klakow, D., 2014

Research output: Non-textual formSoftwareOther research output

9 Downloads (Pure)

Representation of linguistic form and function in recurrent neural networks

Kadar, A., Chrupala, G. & Alishahi, A., 2017, In : Computational Linguistics. 43, 4, p. 761-780

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
Recurrent neural networks
Linguistics
neural network
linguistics
Syntactics