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Plausible Reasoning about EL-Ontologies using Concept Interpolation

Jun 25, 2020
Yazm√≠n Ib√°√Īez-Garc√≠a, V√≠ctor Guti√©rrez-Basulto, Steven Schockaert

* 16 pages, 3 figures, accepted at KR 2020 

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From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)

Dec 13, 2019
Zied Bouraoui, Antoine Cornu√©jols, Thierry DenŇďux, S√©bastien Destercke, Didier Dubois, Romain Guillaume, Jo√£o Marques-Silva, J√©r√īme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain

* 53 pages 

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Modelling Semantic Categories using Conceptual Neighborhood

Dec 03, 2019
Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* Accepted to AAAI 2020 

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Inducing Relational Knowledge from BERT

Nov 28, 2019
Zied Bouraoui, Jose Camacho-Collados, Steven Schockaert

* Accepted to AAAI 2020 

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Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings

Oct 22, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* 23 pages, 2 figures, 7 tables. Preprint submitted to Journal of Artificial Intelligence Research 

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Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings

Oct 21, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* 23 pages, 2 figures, 7 tables. Preprint submitted to Journal of Artificial Intelligence Research 

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Learning Household Task Knowledge from WikiHow Descriptions

Sep 13, 2019
Yilun Zhou, Julie A. Shah, Steven Schockaert

* IJCAI 2019 Workshop on Semantic Deep Learning 

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On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning

Aug 21, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* 13 pages, 2 figures, 7 tables 

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Relational Word Embeddings

Jun 04, 2019
Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* To appear at ACL 2019. 11 pages 

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Learning Cross-lingual Embeddings from Twitter via Distant Supervision

May 17, 2019
Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa-Anke, Francesco Barbieri, Steven Schockaert

* 11 pages, 5 tables, 1 figure, 1 appendix 

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Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

Feb 21, 2019
Yilun Zhou, Steven Schockaert, Julie A. Shah


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Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data

Oct 12, 2018
Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert


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Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Aug 27, 2018
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

* 11 pages, 4 tables, 1 figure. EMNLP 2018 camera-ready 

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From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules

Aug 21, 2018
Víctor Gutiérrez-Basulto, Steven Schockaert

* Full version of a paper accepted at KR-2018 

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SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors

Aug 18, 2018
Luis Espinosa-Anke, Steven Schockaert


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PAC-Reasoning in Relational Domains

Jul 04, 2018
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert

* Longer version of paper appearing in UAI 2018 

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VC-Dimension Based Generalization Bounds for Relational Learning

Jul 04, 2018
Ondrej Kuzelka, Yuyi Wang, Steven Schockaert

* Longer version of paper accepted at ECML PKDD 2018 

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Learning Conceptual Space Representations of Interrelated Concepts

May 04, 2018
Zied Bouraoui, Steven Schockaert


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Relational Marginal Problems: Theory and Estimation

Apr 25, 2018
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert

* Long version of a paper that appeared in AAAI 2018; added a paragraph to Related Work 

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Modeling Semantic Relatedness using Global Relation Vectors

Nov 14, 2017
Shoaib Jameel, Zied Bouraoui, Steven Schockaert


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Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning

Oct 25, 2017
Shoaib Jameel, Steven Schockaert


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Stacked Structure Learning for Lifted Relational Neural Networks

Oct 05, 2017
Gustav Sourek, Martin Svatos, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka

* Presented at ILP 2017 

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Probabilistic Relation Induction in Vector Space Embeddings

Aug 21, 2017
Zied Bouraoui, Shoaib Jameel, Steven Schockaert


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Jointly Learning Word Embeddings and Latent Topics

Jun 21, 2017
Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai

* 10 pagess, 2 figures, full paper. To appear in the proceedings of The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17) 

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Induction of Interpretable Possibilistic Logic Theories from Relational Data

May 19, 2017
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Longer version of a paper appearing in IJCAI 2017 

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Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)

Nov 18, 2016
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Learning Possibilistic Logic Theories from Default Rules

Apr 18, 2016
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Long version of a paper accepted at IJCAI 2016 

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Solving stable matching problems using answer set programming

Dec 16, 2015
Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé

* Theory and Practice of Logic Programming 16 (2016) 247-268 
* Under consideration in Theory and Practice of Logic Programming (TPLP). arXiv admin note: substantial text overlap with arXiv:1302.7251 

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Encoding Markov Logic Networks in Possibilistic Logic

Jun 08, 2015
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Extended version of a paper appearing in UAI 2015 

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Realizing RCC8 networks using convex regions

Oct 17, 2014
Steven Schockaert, Sanjiang Li


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