Formal lexically informed logics for searching the web

MEmbER: Max-Margin Based Embeddings for Entity Retrieval

Autorzy: Jameel, Shoaib, Bouraoui, Zied and Schockaert, Steven
Opublikowane w: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Wydawca: ACM

Learning predictive categories using lifted relational neural networks

Autorzy: Sourek, Gustav, Manandhar, Suresh, Zelezny, Filip, Schockaert, Steven and Kuzelka, Ondrej
Opublikowane w: Lecture Notes in Computer Science, Numer 10326, 2017, Strona(/y) 108-119
Wydawca: Springer

Modeling context words as regions: an ordinal regression approach to word embedding

Autorzy: Jameel, Shoaib and Schockaert, Steven
Opublikowane w: SIGNLL Conference on Computational Natural Language Learning, 2017
Wydawca: ACL

Induction of Interpretable Possibilistic Logic Theories from Relational Data

Autorzy: Kuzelka, Ondrej; Davis, Jesse; Schockaert, Steven
Opublikowane w: International Joint Conference on Artificial Intelligence (IJCAI), Numer 1, 2017
Wydawca: AAAI Press

Jointly learning word embeddings and latent topics

Autorzy: Shi, Bei, Lam, Wai, Jameel, Shoaib, Schockaert, Steven and Lai, Kwun Ping
Opublikowane w: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Wydawca: ACM

Inductive reasoning in ontologies using conceptual spaces

Autorzy: Bouraoui, Zied, Jameel, Shoaib and Schockaert, Steven
Opublikowane w: 31st AAAI Conference on Artificial Intelligence, 2017
Wydawca: AAAI Press

Using Flickr for characterizing the environment: an exploratory analysis

Autorzy: Jeawak, Shelan, Jones, Christopher B. and Schockaert, Steven
Opublikowane w: 13th International Conference on Spatial Information Theory, 2017
Wydawca: Leibniz International Proceedings in Informatics

Stacked Structure Learning for Lifted Relational Neural Networks

Autorzy: Sourek, Gustav; Svatos, Martin; Zelezny, Filip; Schockaert, Steven; Kuzelka, Ondrej
Opublikowane w: International Conference on Inductive Logic Programming, 2017
Wydawca: Springer

Relational marginal problems: theory and estimation

Autorzy: Kuzelka, Ondrej; Wang, Yuyi; Davis, Jesse; Schockaert, Steven
Opublikowane w: 32nd AAAI Conference on Artificial Intelligence, 2018
Wydawca: AAAI Press

Syntactically aware neural architectures for definition extraction

Autorzy: Espinosa-Anke, Luis and Schockaert, Steven
Opublikowane w: Proceedings of NAACL-HLT, 2018
Wydawca: ACL

Pruning hypothesis spaces using learned domain theories

Autorzy: Svatos, Martin, Sourek, Gustav, Zelezny, Filip, Schockaert, Steven and Kuzelka, Ondrej
Opublikowane w: International Conference on Inductive Logic Programming, 2017
Wydawca: Springer

Exploring urban lifestyles using a nonparametric temporal graphical model

Autorzy: Shoaib Jameel, Yi Lao, Wai Lam, Steven Schockaert, Xing Xie
Opublikowane w: Proceedings of the ACM International Conference on the Theory of Information Retrieval, 2016
Wydawca: ACM

Who wants to join me? Companion recommendation in location based social networks

Autorzy: Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
Opublikowane w: Proceedings of the ACM International Conference on the Theory of Information Retrieval, 2016
Wydawca: ACM

Lexical inference as a spatial reasoning problem

Autorzy: Steven Schockaert
Opublikowane w: Proceedings of the International Workshop on Spatio-Temporal Dynamics, 2015
Wydawca: online only

Qualitative reasoning about directions in semantic spaces

Autorzy: Steven Schockaert, Jae Hee Lee
Opublikowane w: Proceedings of the International Joint Conference on Artificial Intelligence, 2015
Wydawca: AAAI Press

D-GloVe: A feasible least squares model for estimating word embedding densities

Autorzy: Shoaib Jameel, Steven Schockaert
Opublikowane w: Proceedings of the 26th International Conference on Computational Linguistics, 2016
Wydawca: ACL

Entity embeddings with conceptual subspaces as a basis for plausible reasoning

Autorzy: Shoaib Jameel, Steven Schockaert
Opublikowane w: Proceedings of the 22nd European Conference on Artificial Intelligence, 2016
Wydawca: IOS Press

Encoding large RCC8 scenarios using rectangular pseudo-solutions

Autorzy: Zhiguo Long, Steven Schockaert, Sanjiang Li
Opublikowane w: Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning, 2016
Wydawca: AAAI Press

A unified posterior regularized topic model with maximum margin for learning-to-rank

Autorzy: Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing
Opublikowane w: Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Wydawca: ACM

Plausible reasoning based on qualitative entity embeddings

Autorzy: Steven Schockaert, Shoaib Jameel
Opublikowane w: Proceedings of the 25th International Joint Conference on Artificial Intelligence, 2016
Wydawca: AAAI

Inducing symbolic rules from entity embeddings using auto-encoders

Autorzy: Thomas Ager, Ondrej Kuzelka, Steven Schockaert
Opublikowane w: Proceedings of the 11th International Workshop on Neural-Symbolic Learning and Reasoning, 2016
Wydawca: CEUR-Ws.org

Inconsistency-Tolerant Query Answering: Rationality Properties and Computational Complexity Analysis

Autorzy: Jean-François Baget, Salem Benferhat, Zied Bouraoui, Madalina Croitoru, Marie-Laure Mugnier, Odile Papini, Swan Rocher, Karim Tabia
Opublikowane w: Proceedings of the 15th European Conference on Logics in Artificial Intelligence, 2016
Wydawca: Springer

Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Autorzy: Doval, Yerai; Camacho-Collados, Jose; Espinosa-Anke, Luis; Schockaert, Steven
Opublikowane w: Proceedings of EMNLP, Numer 1, 2018
Wydawca: ACL

SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors

Autorzy: Espinosa-Anke, Luis; Schockaert, Steven
Opublikowane w: Proceedings of COLING, Numer 1, 2018
Wydawca: ACL

PAC-Reasoning in Relational Domains

Autorzy: Kuzelka, Ondrej; Wang, Yuyi; Davis, Jesse; Schockaert, Steven
Opublikowane w: Proceedings of UAI, Numer 1, 2018
Wydawca: AUAI

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

Autorzy: Jeawak, Shelan S.; Jones, Christopher B.; Schockaert, Steven
Opublikowane w: Proceedings of ECIR, Numer 1, 2019
Wydawca: Springer

Learning Conceptual Space Representations of Interrelated Concepts

Autorzy: Bouraoui, Zied; Schockaert, Steven
Opublikowane w: Proceedings of IJCAI, Numer 2, 2018
Wydawca: IJCAI

Cardiff University at

Autorzy: Carla Pérez-Almendros, Luis Espinosa-Anke, Steven Schockaert
Opublikowane w: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Strona(/y) 929-933
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2158

Interpretable Emoji Prediction via Label-Wise Attention LSTMs

Autorzy: Francesco Barbieri, Luis Espinosa-Anke, Jose Camacho-Collados, Steven Schockaert, Horacio Saggion
Opublikowane w: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018, Strona(/y) 4766-4771
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/d18-1508

Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces

Autorzy: Steven Schockaert, Sanjiang Li
Opublikowane w: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018, Strona(/y) 1963-1969, ISBN 9780-999241127
Wydawca: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2018/271

Relation induction in word embeddings revisited

Autorzy: Zied Bouraoui, Shoaib Jameel, Steven Schockaert
Opublikowane w: Proceedings of COLING, 2018
Wydawca: ACL

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors

Autorzy: Shoaib Jameel, Steven Schockaert
Opublikowane w: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, Strona(/y) 3319-3328
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/p19-1321

A Latent Variable Model for Learning Distributional Relation Vectors

Autorzy: Jose Camacho-Collados, Luis Espinosa-Anke, Shoaib Jameel, Steven Schockaert
Opublikowane w: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, Strona(/y) 4911-4917, ISBN 978-0-9992411-4-1
Wydawca: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2019/682

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

Autorzy: Gutiérrez-Basulto, Víctor; Schockaert, Steven
Opublikowane w: Proceedings of KR, Numer 3, 2018
Wydawca: AAAI Press

Unsupervised Learning of Distributional Relation Vectors

Autorzy: Shoaib Jameel, Zied Bouraoui, Steven Schockaert
Opublikowane w: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, Strona(/y) 23-33
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/p18-1003

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

Autorzy: Yilun Zhou, Steven Schockaert, Julie Shah
Opublikowane w: The World Wide Web Conference on - WWW '19, 2019, Strona(/y) 2460-2471, ISBN 9781-450366748
Wydawca: ACM Press
DOI: 10.1145/3308558.3313486

Relational Word Embeddings

Autorzy: Camacho-Collados, Jose; Espinosa-Anke, Luis; Schockaert, Steven
Opublikowane w: Proceedings of ACL, Numer 3, 2019
Wydawca: ACL

Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces

Autorzy: Thomas Ager, Ondřej Kuželka, Steven Schockaert
Opublikowane w: Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018, Strona(/y) 530-540
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/k18-1051

Learning Household Task Knowledge from WikiHow Descriptions

Autorzy: Yilun Zhou, Julie Shah, Steven Schockaert
Opublikowane w: Proceedings of SemDeep, 2019
Wydawca: ACL

Syntactically Aware Neural Architectures for Definition Extraction

Autorzy: Luis Espinosa Anke, Steven Schockaert
Opublikowane w: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018, Strona(/y) 378-385
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/n18-2061

VC-dimension based generalization bounds for relational learning

Autorzy: Kuzelka, Ondrej; Wang, Yuyi; Schockaert, Steven
Opublikowane w: Proceedings of ECML/PKDD, Numer 2, 2018
Wydawca: Springer

Learning Cross-lingual Embeddings from Twitter via Distant Supervision

Autorzy: Camacho-Collados, Jose; Doval, Yerai; Martínez-Cámara, Eugenio; Espinosa-Anke, Luis; Barbieri, Francesco; Schockaert, Steven
Opublikowane w: International Conference on Weblogs and Social Media (ICWSM), 2020
Wydawca: AAAI

Inducing Relational Knowledge from BERT

Autorzy: Zied Bouraoui, José Camacho-Collados, Steven Schockaert
Opublikowane w: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Wydawca: AAAI

Modelling Semantic Categories Using Conceptual Neighborhood

Autorzy: Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
Opublikowane w: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Wydawca: AAAI

Learning Conceptual Spaces with Disentangled Facets

Autorzy: Rana Alshaikh, Zied Bouraoui, Steven Schockaert
Opublikowane w: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019, Strona(/y) 131-139
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/k19-1013

Generalized possibilistic logic: foundations and applications to qualitative reasoning about uncertainty

Autorzy: Dubois, Didier, Prade, Henri and Schockaert, Steven
Opublikowane w: Artificial Intelligence, 2017, ISSN 0004-3702
Wydawca: Elsevier BV

Repairing inconsistent answer set programs using rules of thumb: a gene regulatory networks case study

Autorzy: Merhej, Elie, Schockaert, Steven and De Cock, Martine
Opublikowane w: International Journal of Approximate Reasoning, Numer 83, 2017, ISSN 0888-613X
Wydawca: Elsevier BV

Lifted relational neural networks: Efficient learning of latent relational structures

Autorzy: Sourek, Gustav, Aschenbrenner, Vojtech, Zelezny, Filip, Schockaert, Steven and Kuzelka, Ondrej
Opublikowane w: Journal of Artificial Intelligence Research, 2018, ISSN 1076-9757
Wydawca: Morgan Kaufmann Publishers, Inc.

Indexing large geographic datasets with compact qualitative representation

Autorzy: Zhiguo Long, Matt Duckham, Sanjiang Li, Steven Schockaert
Opublikowane w: International Journal of Geographical Information Science, 2016, ISSN 1365-8816
Wydawca: Taylor & Francis

Automated Rule Base Completion as Bayesian Concept Induction

Autorzy: Zied Bouraoui, Steven Schockaert
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 33, 2019, Strona(/y) 6228-6235, ISSN 2374-3468
Wydawca: AAAI Press
DOI: 10.1609/aaai.v33i01.33016228

Word Embedding as Maximum A Posteriori Estimation

Autorzy: Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 33, 2019, Strona(/y) 6562-6569, ISSN 2374-3468
Wydawca: AAAI Press
DOI: 10.1609/aaai.v33i01.33016562

Predicting environmental features by learning spatiotemporal embeddings from social media

Autorzy: Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert
Opublikowane w: Ecological Informatics, Numer 55, 2020, Strona(/y) 101031, ISSN 1574-9541
Wydawca: Elsevier BV
DOI: 10.1016/j.ecoinf.2019.101031

$$\exists $$ -ASP for Computing Repairs with Existential Ontologies

Autorzy: Jean-François Baget, Zied Bouraoui, Farid Nouioua, Odile Papini, Swan Rocher, Eric Würbel
Opublikowane w: Scalable Uncertainty Management, 2016, Strona(/y) 230-245, ISBN 978-3-319-45856-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-45856-4_16

Ontology Completion Using Graph Convolutional Networks

Autorzy: Na Li, Zied Bouraoui, Steven Schockaert
Opublikowane w: The Semantic Web – ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I, Numer 11778, 2019, Strona(/y) 435-452, ISBN 978-3-030-30792-9
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-30793-6_25

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