Publications

to appear

  • Na Li, Steven Schockaert, Zied Bouraoui
    Ontology completion using graph convolutional networks
    International Semantic Web Conference (ISWC)
  • Yilun Zhou, Julie Shah, Steven Schockaert
    Learning household task knowledge from WikiHow descriptions
    5th Workshop on Semantic Deep Learning (SemDeep)
  • Luis Espinosa Anke, Leo Wanner, Steven Schockaert
    Collocation classification with unsupervised relation vectors
    57th Annual Meeting of the Association for Computational Linguistics (ACL)
  • Shoaib Jameel, Steven Schockaert
    Word and document embedding with vMF-mixture priors on context word vectors
    57th Annual Meeting of the Association for Computational Linguistics (ACL)
  • Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
    Relational word vectors
    57th Annual Meeting of the Association for Computational Linguistics (ACL)
  • Jose Camacho-Collados, Luis Espinosa-Anke, Shoaib Jameel, Steven Schockaert
    A latent variable model for learning distributional relation vectors
    28th International Joint Conference on Artificial Intelligence (IJCAI)
  • Luis Espinosa-Anke, Jose Camacho-Collados, Steven Schockaert
    Relation vectors to uncover analogies and bias in text corpora
    International Corpus Linguistics Conference
  • Zied Bouraoui, Steven Schockaert
    Automated rule base completion as Bayesian concept induction
    Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI)
  • Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam and Steven Schockaert
    Word embedding as maximum a posteriori estimation
    Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI)

2019

  • Yilun Zhou, Steven Schockaert, Julie Shah
    Predicting ConceptNet path quality using crowdsourced assessments of naturalness
    Proceedings of The Web Conference (WWW), pages 2460-2471
  • Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert
    Embedding geographic locations for modelling the natural environment using Flickr tags and structured data
    Proceedings of the 41st European Conference on Information Retrieval (ECIR), pages 51-66
  • Carla PĂ©rez-Almendros, Luis Espinosa-Anke, Steven Schockaert
    Cardiff University at SemEval-2019 Task 4: Linguistic features for hyperpartisan news detection
    SemEval, pages 929-933

2018

  • Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka
    Lifted relational neural networks: efficient learning of latent relational structures
    Journal of Artificial Intelligence Research, vol. 62, pages 69-100
  • Ondrej Kuzelka, Yuyi Wang, Steven Schockaert
    VC-Dimension Based Generalization Bounds for Relational Learning
    Proceedings of ECML/PKDD
  • Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
    PAC-Reasoning in Dense Relational Domains
    Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI)
  • Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados, Steven Schockaert, Horacio Saggion
    Interpretable emoji prediction via label-wise attention LSTMs
    Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4766-4771
  • Yerai Doval, Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
    Improving cross-lingual word embeddings by meeting in the middle
    Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 294-304
  • Thomas Ager, Ondrej Kuzelka, Steven Schockaert
    Modelling salient features as directions in fine-tuned semantic spaces
    The SIGNLL Conference on Computational Natural Language Learning (CoNLL), pages 530-540
  • Victor Gutierrez Basulto, Steven Schockaert
    From knowledge graph embedding to ontology embedding? An analysis of the compatibility between vector space representations and rules (runner-up best paper award)
    Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR), pages 379-388
  • Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert
    Mapping wildlife species distribution with social media: augmenting text classification with species names
    Proceedings of the 10th International Conference on Geographic Information Science (GIScience), pages 34:1-34:6
  • Zied Bouraoui, Shoaib Jameel, Steven Schockaert
    Relation induction in word embeddings revisited (area chair favourite)
    Proceedings of the 27th International Conference on Computational Linguistics (COLING), pages 1627-1637
  • Luis Espinosa Anke, Steven Schockaert
    SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors (area chair favourite)
    Proceedings of the 27th International Conference on Computational Linguistics (COLING), pages 2653-2665
  • Shoaib Jameel, Zied Bouraoui, Steven Schockaert
    Unsupervised learning of distributional relation vectors
    Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), pages 23-33
  • Zied Bouraoui, Steven Schockaert
    Learning conceptual space representations of interrelated concepts
    Proceedings of the 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI18), pages 1760-1766
  • Steven Schockaert, Sanjiang Li
    Reasoning about betweenness and RCC8 constraints in qualitative conceptual spaces
    Proceedings of the 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI18), pages 1963-1969
  • Luis Espinosa Anke, Steven Schockaert
    Syntactically aware neural architectures for definition extraction
    Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 378-385
  • Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
    Relational marginal problems: theory and estimation
    Proceedings of the 32nd AAAI Conference on Artificial Intelligence

2017

  • Didier Dubois, Henri Prade, Steven Schockaert
    Generalized possibilistic logic: foundations and applications to qualitative reasoning under uncertainty
    Artificial Intelligence, vol. 252, pages 139-174
  • Elie Merhej, Steven Schockaert, Martine De Cock
    Repairing inconsistent answer set programs using rules of thumb: a gene regulatory networks case study [PDF]
    International Journal of Approximate Reasoning, vol. 83, pages 243-264
  • Gustav Sourek, Martin Svatos, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka
    Stacked structure learning for lifted relational neural networks (best paper award)
    Proceedings of the 27th International Conference on Inductive Logic Programming
  • Martin Svatos, Gustav Sourek, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka
    Pruning hypothesis spaces using learned domain theories
    Proceedings of the 27th International Conference on Inductive Logic Programming
  • Shoaib Jameel, Steven Schockaert
    Modeling context words as regions: an ordinal regression approach to word embedding [PDF]
    Proceedings of the SIGNLL Conference on Computational Natural Language Learning (CoNLL), pages 123-133
  • Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert
    Using Flickr for characterizing the environment: an exploratory analysis [PDF]
    Proceedings of the 13th International Conference on Spatial Information Theory (COSIT)
  • Ondrej Kuzelka, Jesse Davis, Steven Schockaert
    Induction of interpretable possibilistic logic theories from relational data [PDF]
    Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), pages 1153-1159
  • Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai
    Jointly learning word embeddings and latent topics [PDF]
    Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 375-384
  • Shoaib Jameel, Zied Bouraoui, Steven Schockaert
    MEmbER: Max-margin based embeddings for entity retrieval [PDF]
    Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 783-792
  • Zied Bouraoui, Shoaib Jameel, Steven Schockaert
    Inductive Reasoning about ontologies using conceptual spaces [PDF]
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, pages 4364-4370

2016

  • Zhiguo Long, Matt Duckham, Sanjiang Li, Steven Schockaert
    Indexing large geographic datasets with compact qualitative representation [PDF]
    International Journal of Geographical Information Science, vol. 30, pages 1072-1094
  • Gustav Sourek, Suresh Manandhar, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka
    Learning predictive categories using lifted relational neural networks [PDF]
    Proceedings of the 26th International Conference on Inductive Logic Programming, pages 108-119
  • Shoaib Jameel, Steven Schockaert
    D-GloVe: A feasible least squares model for estimating word embedding densities [PDF]
    Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 1849-1860
  • Thomas Ager, Ondrej Kuzelka, Steven Schockaert
    Inducing symbolic rules from entity embeddings using auto-encoders [PDF]
    Proceedings of the 11th International Workshop on Neural-Symbolic Learning and Reasoning
  • Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
    Who wants to join me? Companion recommendation in location based social networks [PDF]
    Proceedings of the ACM International Conference on the Theory of Information Retrieval (ICTIR), pages 271-280
  • Shoaib Jameel, Yi Lao, Wai Lam, Steven Schockaert, Xing Xie
    Exploring urban lifestyles using a nonparametric temporal graphical model [PDF]
    Proceedings of the ACM International Conference on the Theory of Information Retrieval (ICTIR), pages 251-260
  • Shoaib Jameel, Steven Schockaert
    Entity embeddings with conceptual subspaces as a basis for plausible reasoning [PDF]
    Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI), pages 1353-1361
  • Steven Schockaert, Shoaib Jameel
    Plausible reasoning based on qualitative entity embeddings (invited contribution) [PDF]
    Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pages 4078-4081
  • Zhiguo Long, Steven Schockaert, Sanjiang Li
    Encoding large RCC8 scenarios using rectangular pseudo-solutions [PDF]
    Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR), pages 463-472

2015

  • Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing
    A unified posterior regularized topic model with maximum margin for learning-to-rank [PDF]
    Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 103-112
  • Steven Schockaert
    Lexical inference as a spatial reasoning problem (invited contribution) [PDF]
    Proceedings of the International Workshop on Spatio-Temporal Dynamics
  • Steven Schockaert, Jae Hee Lee
    Qualitative reasoning about directions in semantic spaces [PDF]
    Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 3207-3213