Between VP Adjuncts and Second Pole in Dutch. A corpus based survey regarding the complements between VP adjuncts and second pole in Dutch. - Tim Van de Cruys (CLIN, 2004)

Semantic Clustering in Dutch. - Tim Van de Cruys (CLIN, 2005)

The Application of Singular Value Decomposition to Dutch Noun-Adjective Matrices. - Tim Van de Cruys (RECITAL (Posters), 2006)

Using Three Way Data for Word Sense Discrimination. - Tim Van de Cruys (COLING, 2008)

Exploring Dialect Phonetic Variation Using PARAFAC. - Jelena Prokic; Tim Van de Cruys (SIGMORPHON, 2010)

A non-negative tensor factorization model for selectional preference induction. - Tim Van de Cruys (Nat. Lang. Eng., 2010)

Latent Semantic Word Sense Induction and Disambiguation. - Tim Van de Cruys; Marianna Apidianaki (ACL, 2011)

A Quantitative Evaluation of Global Word Sense Induction. - Marianna Apidianaki; Tim Van de Cruys (CICLing (1), 2011)

Latent Vector Weighting for Word Meaning in Context. - Tim Van de Cruys; Thierry Poibeau; Anna Korhonen (EMNLP, 2011)

Multi-way Tensor Factorization for Unsupervised Lexical Acquisition. - Tim Van de Cruys; Laura Rimell; Thierry Poibeau; Anna Korhonen (COLING, 2012)

Unsupervised Metaphor Paraphrasing using a Vector Space Model. - Ekaterina Shutova; Tim Van de Cruys; Anna Korhonen (COLING (Posters), 2012)

A Tensor-based Factorization Model of Semantic Compositionality. - Tim Van de Cruys; Thierry Poibeau; Anna Korhonen (HLT-NAACL, 2013)

MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting. - Tim Van de Cruys; Stergos D. Afantenos; Philippe Muller (SemEval@NAACL-HLT, 2013)

MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds. - Tim Van de Cruys; Stergos D. Afantenos; Philippe Muller (SemEval@NAACL-HLT, 2013)

A Neural Network Approach to Selectional Preference Acquisition. - Tim Van de Cruys (EMNLP, 2014)

An evaluation of various methods for adjective-nouns composition (Une évaluation approfondie de différentes méthodes de compositionalité sémantique) [in French]. - Antoine Bride; Tim Van de Cruys; Nicholas Asher (TALN (1), 2014)

Presentation of the SemDis 2014 workshop: distributional semantics for two tasks - lexical substitution and exploration of specialized corpora (Présentation de l'atelier SemDis 2014 : sémantique distributionnelle pour la substitution lexicale et l'exploration de corpus spécialisés) [in French]. - Cécile Fabre; Nabil Hathout; Lydia-Mai Ho-Dac; François Morlane-Hondère; Philippe Muller; Franck Sajous; Ludovic Tanguy; Tim Van de Cruys (SemDis@TALN-RECITAL, 2014)

A Generalisation of Lexical Functions for Composition in Distributional Semantics. - Antoine Bride; Tim Van de Cruys; Nicholas Asher (ACL (1), 2015)

Integrating Type Theory and Distributional Semantics: A Case Study on Adjective-Noun Compositions. - Nicholas Asher; Tim Van de Cruys; Antoine Bride; Márta Abrusán (Comput. Linguistics, 2016)

Changement stylistique de phrases par apprentissage faiblement supervisé (Textual Style Transfer using Weakly Supervised Learning). - Damien Sileo; Camille Pradel; Philippe Muller; Tim Van de Cruys (TALN (2), 2017)

Synapse at CAp 2017 NER challenge: Fasttext CRF. - Damien Sileo; Camille Pradel; Philippe Muller; Tim Van de Cruys (CoRR, 2017)

Complémentarités de représentations vectorielles pour la similarité sémantique. - Julien Hay; Tim Van de Cruys; Philippe Muller; Bich-Liên Doan; Fabrice Popineau; Lyes Benamsili (EGC, 2018)

Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity. - Julien Hay; Tim Van de Cruys; Philippe Muller; Bich-Liên Doan; Fabrice Popineau; Ouassim Ait ElHara (EGC (best of volume), 2018)

Concaténation de réseaux de neurones pour la classification de tweets, DEFT2018 (Concatenation of neural networks for tweets classification, DEFT2018 ). - Damien Sileo; Tim Van de Cruys; Philippe Muller; Camille Pradel (CORIA-TALN-RJC (DeFT), 2018)

Mining Discourse Markers for Unsupervised Sentence Representation Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (NAACL-HLT (1), 2019)

Composition of Embeddings : Lessons from Statistical Relational Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (*SEM@NAACL-HLT, 2019)

La génération automatique de poésie en français (Automatic Poetry Generation in French). - Tim Van de Cruys (PFIA (Articles longs), 2019)

Aprentissage non-supervisé pour l'appariement et l'étiquetage de cas cliniques en français - DEFT2019 (Unsupervised learning for matching and labelling of french clincal cases - DEFT2019 ). - Damien Sileo; Tim Van de Cruys; Philippe Muller; Camille Pradel (PFIA (Défi Fouille de Textes), 2019)

Composition of Sentence Embeddings: Lessons from Statistical Relational Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (CoRR, 2019)

Discourse-Based Evaluation of Language Understanding. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (CoRR, 2019)

Artificial Intelligence and Literature. - Tim Van de Cruys (A Guided Tour of Artificial Intelligence Research (3) (III), 2020)

Automatic Poetry Generation from Prosaic Text. - Tim Van de Cruys (ACL, 2020)

How Relevant Are Selectional Preferences for Transformer-based Language Models? - Eleni Metheniti; Tim Van de Cruys; Nabil Hathout (COLING, 2020)

DiscSense: Automated Semantic Analysis of Discourse Markers. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (LREC, 2020)

SignON: Bridging the gap between Sign and Spoken Languages. - Horacio Saggion; Dimitar Shterionov; Gorka Labaka; Tim Van de Cruys; Vincent Vandeghinste; Josep Blat (SEPLN (Projects and Demonstrations), 2021)

Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection). - Tom Bourgeade; Philippe Muller; Tim Van de Cruys (TALN (1), 2021)

Prédire l'aspect linguistique en anglais au moyen de transformers (Classifying Linguistic Aspect in English with Transformers ). - Eleni Metheniti; Tim Van de Cruys; Nabil Hathout (TALN (1), 2021)

A Pragmatics-Centered Evaluation Framework for Natural Language Understanding. - Damien Sileo; Philippe Muller; Tim Van de Cruys; Camille Pradel (LREC, 2022)

When does CLIP generalize better than unimodal models? When judging human-centric concepts. - Romain Bielawski; Benjamin Devillers; Tim Van de Cruys; Rufin VanRullen (RepL4NLP@ACL, 2022)

"Chère maison" or "maison chère"? Transformer-based prediction of adjective placement in French. - Eleni Metheniti; Tim Van de Cruys; Wissam Kerkri; Juliette Thuilier; Nabil Hathout (EACL (Findings), 2023)

Training and Evaluation of Named Entity Recognition Models for Classical Latin. - Marijke Beersmans; Evelien de Graaf; Tim Van de Cruys; Margherita Fantoli (ALP@RANLP, 2023)

CLIN33 Shared Task: LLM-generated Test Data. - Pieter Fivez; Walter Daelemans; Tim Van de Cruys (Zenodo, 2024)