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Walter Daelemans
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- affiliation: University of Antwerp, Belgium
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2020 – today
- 2024
- [j50]Ine Gevers, August De Mulder, Walter Daelemans:
Towards a large scale analysis of claims: developing a machine learning method for detecting and classifying politicians' claims of representation. J. Comput. Soc. Sci. 7(1): 917-961 (2024) - [c173]Jens Lemmens, Walter Daelemans:
Model Priming with Triplet Loss for Few-Shot Emotion Classification in Text. ECAI 2024: 2637-2644 - [i43]Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann, Walter Daelemans:
PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits. CoRR abs/2401.07363 (2024) - [i42]Ine Gevers, Walter Daelemans:
Bag of Lies: Robustness in Continuous Pre-training BERT. CoRR abs/2406.09967 (2024) - 2023
- [j49]Lisa Hilte, Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Who are the haters? A corpus-based demographic analysis of authors of hate speech. Frontiers Artif. Intell. 6 (2023) - [j48]Christian Ohmann, Maria Panagiotopoulou, Steve Canham, Petr Holub, Kurt Majcen, Gary Saunders, Maddalena Fratelli, Jing Tang, Philip Gribbon, Reagon Karki, Mari Kleemola, Katja Moilanen, Daan Broeder, Walter Daelemans, Pieter Fivez:
Proposal for a framework of contextual metadata in selected research infrastructures of the life sciences and the social sciences & humanities. Int. J. Metadata Semant. Ontologies 16(4): 261-277 (2023) - [j47]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Transfer Learning for the Visual Arts: The Multi-modal Retrieval of Iconclass Codes. ACM Journal on Computing and Cultural Heritage 16(2): 32:1-32:16 (2023) - [c172]Andriy Kosar, Guy De Pauw, Walter Daelemans:
Advancing Topical Text Classification: A Novel Distance-Based Method with Contextual Embeddings. RANLP 2023: 586-597 - [c171]Jens Lemmens, Walter Daelemans:
Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets. WASSA@ACL 2023: 237-250 - [c170]Jens Van Nooten, Walter Daelemans:
Improving Dutch Vaccine Hesitancy Monitoring via Multi-Label Data Augmentation with GPT-3.5. WASSA@ACL 2023: 251-270 - 2022
- [j46]Lisa Hilte, Reinhild Vandekerckhove, Walter Daelemans:
Linguistic Accommodation in Teenagers' Social Media Writing: Convergence Patterns in Mixed-gender Conversations. J. Quant. Linguistics 29(2): 241-268 (2022) - [j45]Lea Canales, Walter Daelemans, Ester Boldrini, Patricio Martínez-Barco:
EmoLabel: Semi-Automatic Methodology for Emotion Annotation of Social Media Text. IEEE Trans. Affect. Comput. 13(2): 579-591 (2022) - [c169]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
Is It Smaller Than a Tennis Ball? Language Models Play the Game of Twenty Questions. BlackboxNLP@EMNLP 2022: 80-90 - [c168]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
Open-Domain Dialog Evaluation Using Follow-Ups Likelihood. COLING 2022: 496-504 - [c167]Jeska Buhmann, Maxime De Bruyn, Ehsan Lotfi, Walter Daelemans:
Domain- and Task-Adaptation for VaccinChatNL, a Dutch COVID-19 FAQ Answering Corpus and Classification Model. COLING 2022: 3539-3549 - [c166]Jens Lemmens, Jens Van Nooten, Tim Kreutz, Walter Daelemans:
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection. COLING 2022: 6837-6845 - [c165]Chris Emmery, Ákos Kádár, Grzegorz Chrupala, Walter Daelemans:
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations. LREC 2022: 2976-2988 - [c164]Ilia Markov, Ine Gevers, Walter Daelemans:
An Ensemble Approach for Dutch Cross-Domain Hate Speech Detection. NLDB 2022: 3-15 - [c163]Tim Kreutz, Walter Daelemans:
Detecting Vaccine Skepticism on Twitter Using Heterogeneous Information Networks. NLDB 2022: 370-381 - [p6]Frieda Steurs, Vincent Vandeghinste, Walter Daelemans:
Language Report Dutch. European Language Equality 2022: 123-126 - [i41]Chris Emmery, Ákos Kádár, Grzegorz Chrupala, Walter Daelemans:
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations. CoRR abs/2201.06384 (2022) - [i40]Jens Lemmens, Jens Van Nooten, Tim Kreutz, Walter Daelemans:
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection. CoRR abs/2203.07362 (2022) - [i39]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
Open-Domain Dialog Evaluation using Follow-Ups Likelihood. CoRR abs/2209.05185 (2022) - 2021
- [j44]Matthia Sabatelli, Nikolay Banar, Marie Cocriamont, Eva Coudyzer, Karine Lasaracina, Walter Daelemans, Pierre Geurts, Mike Kestemont:
Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain. Digit. Humanit. Q. 15(1) (2021) - [j43]Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove:
Interlocutors' Age Impacts Teenagers' Online Writing Style: Accommodation in Intra- and Intergenerational Online Conversations. Frontiers Artif. Intell. 4: 738278 (2021) - [j42]Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs, Cynthia Van Hee, Els Lefever, Bart Desmet, Véronique Hoste, Walter Daelemans:
Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity. Lang. Resour. Evaluation 55(3): 597-633 (2021) - [c162]Pieter Fivez, Simon Suster, Walter Daelemans:
Integrating Higher-Level Semantics into Robust Biomedical Name Representations. LOUHI@EACL 2021: 49-58 - [c161]Pieter Fivez, Simon Suster, Walter Daelemans:
Scalable Few-Shot Learning of Robust Biomedical Name Representations. BioNLP@NAACL-HLT 2021: 23-29 - [c160]Madhumita Sushil, Simon Suster, Walter Daelemans:
Are we there yet? Exploring clinical domain knowledge of BERT models. BioNLP@NAACL-HLT 2021: 41-53 - [c159]Madhumita Sushil, Simon Suster, Walter Daelemans:
Contextual explanation rules for neural clinical classifiers. BioNLP@NAACL-HLT 2021: 202-212 - [c158]Pieter Fivez, Simon Suster, Walter Daelemans:
Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations. EACL 2021: 2440-2450 - [c157]Nikolay Banar, Matthia Sabatelli, Pierre Geurts, Walter Daelemans, Mike Kestemont:
Transfer Learning with Style Transfer between the Photorealistic and Artistic Domain. Computer Vision and Image Analysis of Art 2021: 1-9 - [c156]Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans:
Mapping probability word problems to executable representations. EMNLP (1) 2021: 3627-3640 - [c155]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Multi-modal Label Retrieval for the Visual Arts: The Case of Iconclass. ICAART (1) 2021: 622-629 - [c154]Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection. WASSA@EACL 2021: 149-159 - [i38]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
ConveRT for FAQ Answering. CoRR abs/2108.00719 (2021) - [i37]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
MFAQ: a Multilingual FAQ Dataset. CoRR abs/2109.12870 (2021) - [i36]Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann, Walter Daelemans:
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models. CoRR abs/2110.02067 (2021) - 2020
- [c153]Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov, Walter Daelemans:
Sarcasm Detection Using an Ensemble Approach. Fig-Lang@ACL 2020: 264-269 - [c152]Tim Kreutz, Walter Daelemans:
Streaming Language-Specific Twitter Data with Optimal Keywords. WAC@LREC 2020: 57-64 - [c151]Ehsan Lotfi, Ilia Markov, Walter Daelemans:
A Deep Generative Approach to Native Language Identification. COLING 2020: 1778-1783 - [c150]Nikolay Banar, Karine Lasaracina, Walter Daelemans, Mike Kestemont:
Transfer Learning for Digital Heritage Collections: Comparing Neural Machine Translation at the Subword-level and Character-level. ICAART (1) 2020: 522-529 - [c149]Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
BART for Knowledge Grounded Conversations. Converse@KDD 2020 - [c148]Stéphan Tulkens, Dominiek Sandra, Walter Daelemans:
Orthographic Codes and the Neighborhood Effect: Lessons from Information Theory. LREC 2020: 172-181 - [c147]Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiljevs, Gerhard Backfried, Christoph Prinz, José Manuél Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriute, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavriilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette S. Pedersen, Inguna Skadina, Marko Tadic, Dan Tufis, Tamás Váradi, Kadri Vider, Andy Way, François Yvon:
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. LREC 2020: 3322-3332 - [c146]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Character-Level Transformer-Based Neural Machine Translation. NLPIR 2020: 149-156 - [i35]Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiljevs, Gerhard Backfried, Christoph Prinz, José Manuél Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriute, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavrilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Marko Tadic, Dan Tufis, Tamás Váradi, Kadri Vider, Andy Way, François Yvon:
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. CoRR abs/2003.13833 (2020) - [i34]Madhumita Sushil, Simon Suster, Walter Daelemans:
Distilling neural networks into skipgram-level decision lists. CoRR abs/2005.07111 (2020) - [i33]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Character-level Transformer-based Neural Machine Translation. CoRR abs/2005.11239 (2020)
2010 – 2019
- 2019
- [j41]Stéphan Tulkens, Simon Suster, Walter Daelemans:
Unsupervised concept extraction from clinical text through semantic composition. J. Biomed. Informatics 91 (2019) - [j40]Ben Verhoeven, Walter Daelemans:
Discourse lexicon induction for multiple languages and its use for gender profiling. Digit. Scholarsh. Humanit. 34(1): 208-220 (2019) - [c145]Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. CLEF 2019: 402-416 - [c144]Mike Kestemont, Efstathios Stamatatos, Enrique Manjavacas, Walter Daelemans, Martin Potthast, Benno Stein:
Overview of the Cross-domain Authorship Attribution Task at PAN 2019. CLEF (Working Notes) 2019 - [c143]Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in Dutch. GxG@CLIN 2019: 1-5 - [p5]Paolo Rosso, Martin Potthast, Benno Stein, Efstathios Stamatatos, Francisco M. Rangel Pardo, Walter Daelemans:
Evolution of the PAN Lab on Digital Text Forensics. Information Retrieval Evaluation in a Changing World 2019: 461-485 - [e10]Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), Groningen, The Netherlands, January 31, 2019. CEUR Workshop Proceedings 2453, CEUR-WS.org 2019 [contents] - [d11]Mike Kestemont, Efstathios Stamatatos, Enrique Manjavacas, Walter Daelemans, Martin Potthast, Benno Stein:
PAN19 Authorship Analysis: Cross-Domain Authorship Attribution. Zenodo, 2019 - [i32]Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Bart Ons, Walter Daelemans, Hugo Van hamme:
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. CoRR abs/1901.10680 (2019) - [i31]Janneke van de Loo, Guy De Pauw, Walter Daelemans:
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling. CoRR abs/1906.06493 (2019) - [i30]Simon Suster, Madhumita Sushil, Walter Daelemans:
Why can't memory networks read effectively? CoRR abs/1910.07350 (2019) - [i29]Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs, Cynthia Van Hee, Els Lefever, Bart Desmet, Véronique Hoste, Walter Daelemans:
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity. CoRR abs/1910.11922 (2019) - 2018
- [j39]Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. J. Biomed. Informatics 84: 103-113 (2018) - [c142]Simon Suster, Madhumita Sushil, Walter Daelemans:
Revisiting neural relation classification in clinical notes with external information. Louhi@EMNLP 2018: 22-28 - [c141]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. CLEF (Working Notes) 2018 - [c140]Tim Kreutz, Walter Daelemans:
Enhancing General Sentiment Lexicons for Domain-Specific Use. COLING 2018: 1056-1064 - [c139]Stéphan Tulkens, Dominiek Sandra, Walter Daelemans:
From Strings to Other Things: Linking the Neighborhood and Transposition Effects in Word Reading. CoNLL 2018: 75-85 - [c138]Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts:
Deep Transfer Learning for Art Classification Problems. ECCV Workshops (2) 2018: 631-646 - [c137]Madhumita Sushil, Simon Suster, Walter Daelemans:
Rule induction for global explanation of trained models. BlackboxNLP@EMNLP 2018: 82-97 - [c136]Stéphan Tulkens, Dominiek Sandra, Walter Daelemans:
WordKit: a Python Package for Orthographic and Phonological Featurization. LREC 2018 - [c135]Simon Suster, Walter Daelemans:
CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension. NAACL-HLT 2018: 1551-1563 - [c134]Tim Kreutz, Walter Daelemans:
Exploring Classifier Combinations for Language Variety Identification. VarDial@COLING 2018 2018: 191-198 - [c133]Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove:
Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media. WASSA@EMNLP 2018: 328-334 - [d10]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
PAN18 Author Identification: Attribution. Zenodo, 2018 - [d9]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
PAN18 Multi-Author Analysis: Style-Change-Detection. Zenodo, 2018 - [i28]Cynthia Van Hee, Gilles Jacobs, Chris Emmery, Bart Desmet, Els Lefever, Ben Verhoeven, Guy De Pauw, Walter Daelemans, Véronique Hoste:
Automatic Detection of Cyberbullying in Social Media Text. CoRR abs/1801.05617 (2018) - [i27]Simon Suster, Walter Daelemans:
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension. CoRR abs/1803.09720 (2018) - [i26]Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. CoRR abs/1807.01395 (2018) - [i25]Madhumita Sushil, Simon Suster, Walter Daelemans:
Rule induction for global explanation of trained models. CoRR abs/1808.09744 (2018) - [i24]Tom De Smedt, Sylvia Jaki, Eduan Kotzé, Leïla Saoud, Maja Gwózdz, Guy De Pauw, Walter Daelemans:
Multilingual Cross-domain Perspectives on Online Hate Speech. CoRR abs/1809.03944 (2018) - 2017
- [j38]Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Bart Goethals, Walter Daelemans:
Assigning clinical codes with data-driven concept representation on Dutch clinical free text. J. Biomed. Informatics 69: 118-127 (2017) - [j37]Elyne Scheurwegs, Boris Cule, Kim Luyckx, Léon Luyten, Walter Daelemans:
Selecting relevant features from the electronic health record for clinical code prediction. J. Biomed. Informatics 74: 92-103 (2017) - [j36]Walter Daelemans:
Literary detective work on the computer. Michael P. Oakes. Digit. Scholarsh. Humanit. 32(1): 222-223 (2017) - [j35]Mike Kestemont, Guy De Pauw, Renske van Nie, Walter Daelemans:
Lemmatization for variation-rich languages using deep learning. Digit. Scholarsh. Humanit. 32(4): 797-815 (2017) - [c132]Chris Emmery, Grzegorz Chrupala, Walter Daelemans:
Simple Queries as Distant Labels for Predicting Gender on Twitter. NUT@EMNLP 2017: 50-55 - [c131]Simon Suster, Walter Daelemans:
Clinical Machine Comprehension Using Case Reports. AMIA 2017 - [c130]Pieter Fivez, Simon Suster, Walter Daelemans:
Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings. BioNLP 2017: 143-148 - [c129]Michael Tschuggnall, Efstathios Stamatatos, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering. CLEF (Working Notes) 2017 - [c128]Giovanni Cassani, Robert Grimm, Steven Gillis, Walter Daelemans:
Distributional learning and lexical category acquisition: What makes words easy to categorize? CogSci 2017 - [c127]Robert Grimm, Giovanni Cassani, Steven Gillis, Walter Daelemans:
Evidence for a facilitatory effect of multi-word units on child word learning. CogSci 2017 - [c126]Simon Suster, Stéphan Tulkens, Walter Daelemans:
A Short Review of Ethical Challenges in Clinical Natural Language Processing. EthNLP@EACL 2017: 80-87 - [c125]Lea Canales, Walter Daelemans, Ester Boldrini, Patricio Martínez-Barco:
Towards the Improvement of Automatic Emotion Pre-annotation with Polarity and Subjective Information. RANLP 2017: 157-163 - [r2]Walter Daelemans:
POS Tagging. Encyclopedia of Machine Learning and Data Mining 2017: 985-989 - [i23]Simon Suster, Stéphan Tulkens, Walter Daelemans:
A Short Review of Ethical Challenges in Clinical Natural Language Processing. CoRR abs/1703.10090 (2017) - [i22]Enrique Manjavacas, Jeroen De Gussem, Walter Daelemans, Mike Kestemont:
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution. CoRR abs/1708.05536 (2017) - [i21]Pieter Fivez, Simon Suster, Walter Daelemans:
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings. CoRR abs/1710.07045 (2017) - [i20]Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Unsupervised patient representations from clinical notes with interpretable classification decisions. CoRR abs/1711.05198 (2017) - 2016
- [j34]Mike Kestemont, Justin Anthony Stover, Moshe Koppel, Folgert Karsdorp, Walter Daelemans:
Authenticating the writings of Julius Caesar. Expert Syst. Appl. 63: 86-96 (2016) - [j33]Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Walter Daelemans, Tim Van den Bulcke:
Data integration of structured and unstructured sources for assigning clinical codes to patient stays. J. Am. Medical Informatics Assoc. 23(e1): e11-e19 (2016) - [j32]Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, Núria Bel, Audroné Bieleviciené, Lars Borin, António Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garabík, Marko Grobelnik, Carmen García-Mateo, Josef van Genabith, Jan Hajic, Inma Hernáez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunción Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr Pezik, Stelios Piperidis, Adam Przepiórkowski, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Koenraad De Smedt, Marko Tadic, Paul Thompson, Dan Tufis, Tamás Váradi, Andrejs Vasiljevs, Kadri Vider, Jolanta Zabarskaite:
The strategic impact of META-NET on the regional, national and international level. Lang. Resour. Evaluation 50(2): 351-374 (2016) - [j31]Sarah Schulz, Guy De Pauw, Orphée De Clercq, Bart Desmet, Véronique Hoste, Walter Daelemans, Lieve Macken:
Multimodular Text Normalization of Dutch User-Generated Content. ACM Trans. Intell. Syst. Technol. 7(4): 61:1-61:22 (2016) - [c124]Stéphan Tulkens, Simon Suster, Walter Daelemans:
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts. BioNLP@ACL 2016: 77-82 - [c123]Efstathios Stamatatos, Michael Tschuggnall, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Clustering by Authorship Within and Across Documents. CLEF (Working Notes) 2016: 691-715 - [c122]Francisco Manuel Rangel Pardo, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, Benno Stein:
Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations. CLEF (Working Notes) 2016: 750-784 - [c121]Giovanni Cassani, Robert Grimm, Steven Gillis, Walter Daelemans:
Constraining the Search Space in Cross-Situational Word Learning: Different Models Make Different Predictions. CogSci 2016 - [c120]Mike Kestemont, Justin Anthony Stover, Moshe Koppel, Folgert Karsdorp, Walter Daelemans:
Authorship Verification with the Ruzicka Metric. DH 2016: 246-249 - [c119]Stéphan Tulkens, Chris Emmery, Walter Daelemans:
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource. LREC 2016 - [c118]Ben Verhoeven, Walter Daelemans, Barbara Plank:
TwiSty: A Multilingual Twitter Stylometry Corpus for Gender and Personality Profiling. LREC 2016 - [d8]Efstathios Stamatatos, Michael Tschuggnall, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
PAN16 Author Identification: Clustering. Zenodo, 2016 - [d7]Ben Verhoeven, Walter Daelemans, Barbara Plank:
TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling. Zenodo, 2016 - [i19]Claudia Peersman, Walter Daelemans, Reinhild Vandekerckhove, Bram Vandekerckhove, Leona Van Vaerenbergh:
The Effects of Age, Gender and Region on Non-standard Linguistic Variation in Online Social Networks. CoRR abs/1601.02431 (2016) - [i18]Vincent Van Asch, Walter Daelemans:
Predicting the Effectiveness of Self-Training: Application to Sentiment Classification. CoRR abs/1601.03288 (2016) - [i17]