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ORCIDSteven Schockaert
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- affiliation: Cardiff University, UK
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2020 – today
- 2023
[c146]Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller
, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli:
What's the Meaning of Superhuman Performance in Today's NLU? ACL (1) 2023: 12471-12491- [c145]Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. SIGIR 2023: 216-226 - [i53]Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli:
What's the Meaning of Superhuman Performance in Today's NLU? CoRR abs/2305.08414 (2023) - [i52]Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. CoRR abs/2305.09785 (2023) - [i51]Na Li, Zied Bouraoui, Steven Schockaert:
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy. CoRR abs/2305.12802 (2023) - [i50]Frank Mtumbuka, Steven Schockaert:
EnCore: Pre-Training Entity Encoders using Coreference Chains. CoRR abs/2305.12924 (2023) - [i49]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. CoRR abs/2305.15002 (2023) - [i48]Akash Anil, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Steven Schockaert:
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis. CoRR abs/2308.07942 (2023) - 2022
- [j48]Steven Schockaert, Rafael Peñaloza:
Highlights of AI Research in Europe. AI Commun. 35(2): 45 (2022) - [c144]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. AAAI 2022: 2991-2999 - [c143]Zied Bouraoui, Víctor Gutiérrez-Basulto, Steven Schockaert:
Integrating Ontologies and Vector Space Embeddings Using Conceptual Spaces (Invited Paper). AIB 2022: 3:1-3:30 - [c142]Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Self-Supervised Intermediate Fine-Tuning of Biomedical Language Models for Interpreting Patient Case Descriptions. COLING 2022: 1432-1441 - [c141]Amit Gajbhiye, Luis Espinosa Anke, Steven Schockaert:
Modelling Commonsense Properties Using Pre-Trained Bi-Encoders. COLING 2022: 3971-3983 - [c140]Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert:
Sentence Selection Strategies for Distilling Word Embeddings from BERT. LREC 2022: 2591-2600 - [c139]Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
Pre-Training Language Models for Identifying Patronizing and Condescending Language: An Analysis. LREC 2022: 3902-3911 - [c138]Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
SemEval-2022 Task 4: Patronizing and Condescending Language Detection. SemEval@NAACL 2022: 298-307 - [c137]Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval. SIGIR 2022: 460-470 - [i47]Amit Gajbhiye, Luis Espinosa Anke, Steven Schockaert:
Modelling Commonsense Properties using Pre-Trained Bi-Encoders. CoRR abs/2210.02771 (2022) - [i46]Steven Schockaert:
Embeddings as Epistemic States: Limitations on the Use of Pooling Operators for Accumulating Knowledge. CoRR abs/2210.05723 (2022) - 2021
- [j47]Steven Schockaert, Rafael Peñaloza:
Special issue on historical and future perspectives of AI. AI Commun. 34(3): 179 (2021) - [c136]Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Probing Pre-Trained Language Models for Disease Knowledge. ACL/IJCNLP (Findings) 2021: 3023-3033 - [c135]Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, José Camacho-Collados:
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? ACL/IJCNLP (1) 2021: 3609-3624 - [c134]Steven Schockaert:
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis. AKBC 2021 - [c133]Steven Schockaert, Yazmín Angélica Ibáñez-García, Víctor Gutiérrez-Basulto:
Modelling Concept Interpolation in Description Logics using Abstract Betweenness Relations. Description Logics 2021 - [c132]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
Distilling Relation Embeddings from Pretrained Language Models. EMNLP (1) 2021: 9044-9062 - [c131]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-Shot Image Classification with Multi-Facet Prototypes. ICASSP 2021: 1740-1744 - [c130]Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto:
A Description Logic for Analogical Reasoning. IJCAI 2021: 2040-2046 - [c129]Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert:
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. IJCAI 2021: 3850-3856 - [c128]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. ICMR 2021: 367-375 - [c127]Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert:
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection. RepL4NLP@ACL-IJCNLP 2021: 185-194 - [c126]Steven Schockaert, Víctor Gutiérrez-Basulto:
Modelling Symbolic Knowledge Using Neural Representations. Reasoning Web 2021: 59-75 - [i45]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. CoRR abs/2102.00801 (2021) - [i44]Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto:
A Description Logic for Analogical Reasoning. CoRR abs/2105.04620 (2021) - [i43]Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, José Camacho-Collados:
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? CoRR abs/2105.04949 (2021) - [i42]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. CoRR abs/2105.10195 (2021) - [i41]Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Probing Pre-Trained Language Models for Disease Knowledge. CoRR abs/2106.07285 (2021) - [i40]Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert:
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection. CoRR abs/2106.07947 (2021) - [i39]Steven Schockaert:
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis. CoRR abs/2106.14431 (2021) - [i38]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
Distilling Relation Embeddings from Pre-trained Language Models. CoRR abs/2110.15705 (2021) - [i37]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. CoRR abs/2112.01037 (2021) - 2020
- [j46]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Predicting environmental features by learning spatiotemporal embeddings from social media. Ecol. Informatics 55 (2020) - [j45]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Predicting the environment from social media: A collective classification approach. Comput. Environ. Urban Syst. 82: 101487 (2020) - [c125]Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Modelling Semantic Categories Using Conceptual Neighborhood. AAAI 2020: 7448-7455 - [c124]Zied Bouraoui, José Camacho-Collados, Steven Schockaert:
Inducing Relational Knowledge from BERT. AAAI 2020: 7456-7463 - [c123]Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Combining BERT with Static Word Embeddings for Categorizing Social Media. W-NUT@EMNLP 2020: 28-33 - [c122]Rana Alshaikh, Zied Bouraoui, Shelan S. Jeawak, Steven Schockaert:
A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings. COLING 2020: 5124-5135 - [c121]Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities. COLING 2020: 5891-5902 - [c120]Martin Svatos, Steven Schockaert, Jesse Davis, Ondrej Kuzelka:
STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment. ECAI 2020: 1515-1522 - [c119]Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Capturing Word Order in Averaging Based Sentence Embeddings. ECAI 2020: 2062-2069 - [c118]José Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert:
Learning Cross-Lingual Word Embeddings from Twitter via Distant Supervision. ICWSM 2020: 72-82 - [c117]Rana Alshaikh, Zied Bouraoui, Steven Schockaert:
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces. IJCAI 2020: 3573-3579 - [c116]Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto, Steven Schockaert:
Plausible Reasoning about EL-Ontologies using Concept Interpolation. KR 2020: 506-516 - [c115]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning. LREC 2020: 4013-4023 - [c114]Shelan S. Jeawak, Luis Espinosa Anke, Steven Schockaert:
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification. SemEval@COLING 2020: 361-366 - [i36]Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto, Steven Schockaert:
Plausible Reasoning about EL-Ontologies using Concept Interpolation. CoRR abs/2006.14437 (2020) - [i35]Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities. CoRR abs/2011.08320 (2020) - [i34]Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert:
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. CoRR abs/2012.07580 (2020)
2010 – 2019
- 2019
- [c113]Zied Bouraoui, Steven Schockaert:
Automated Rule Base Completion as Bayesian Concept Induction. AAAI 2019: 6228-6235 - [c112]Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. AAAI 2019: 6562-6569 - [c111]José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Relational Word Embeddings. ACL (1) 2019: 3286-3296 - [c110]Shoaib Jameel, Steven Schockaert:
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. ACL (1) 2019: 3319-3328 - [c109]Luis Espinosa Anke, Steven Schockaert, Leo Wanner:
Collocation Classification with Unsupervised Relation Vectors. ACL (1) 2019: 5765-5772 - [c108]Rana Alshaikh, Zied Bouraoui, Steven Schockaert:
Learning Conceptual Spaces with Disentangled Facets. CoNLL 2019: 131-139 - [c107]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Embedding Geographic Locations for Modelling the Natural Environment Using Flickr Tags and Structured Data. ECIR (1) 2019: 51-66 - [c106]José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert:
A Latent Variable Model for Learning Distributional Relation Vectors. IJCAI 2019: 4911-4917 - [c105]Yilun Zhou, Julie Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI 2019: 50-56 - [c104]Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 929-933 - [c103]Na Li, Zied Bouraoui, Steven Schockaert:
Ontology Completion Using Graph Convolutional Networks. ISWC (1) 2019: 435-452 - [c102]Yilun Zhou, Steven Schockaert, Julie Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW 2019: 2460-2471 - [i33]Yilun Zhou, Steven Schockaert, Julie A. Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR abs/1902.07831 (2019) - [i32]José Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert:
Learning Cross-lingual Embeddings from Twitter via Distant Supervision. CoRR abs/1905.07358 (2019) - [i31]José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Relational Word Embeddings. CoRR abs/1906.01373 (2019) - [i30]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning. CoRR abs/1908.07742 (2019) - [i29]Yilun Zhou, Julie A. Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. CoRR abs/1909.06414 (2019) - [i28]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings. CoRR abs/1910.07221 (2019) - [i27]Zied Bouraoui, José Camacho-Collados, Steven Schockaert:
Inducing Relational Knowledge from BERT. CoRR abs/1911.12753 (2019) - [i26]Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Modelling Semantic Categories using Conceptual Neighborhood. CoRR abs/1912.01220 (2019) - [i25]Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain:
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR abs/1912.06612 (2019) - 2018
- [j44]Mushthofa Mushthofa, Steven Schockaert, Ling-Hong Hung, Kathleen Marchal, Martine De Cock:
Modeling multi-valued biological interaction networks using fuzzy answer set programming. Fuzzy Sets Syst. 345: 63-82 (2018) - [j43]Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock:
Modelling incomplete information in Boolean games using possibilistic logic. Int. J. Approx. Reason. 93: 1-23 (2018) - [j42]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. J. Artif. Intell. Res. 62: 69-100 (2018) - [c101]Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert:
Relational Marginal Problems: Theory and Estimation. AAAI 2018: 6384-6391 - [c100]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Unsupervised Learning of Distributional Relation Vectors. ACL (1) 2018: 23-33 - [c99]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Relation Induction in Word Embeddings Revisited. COLING 2018: 1627-1637 - [c98]Luis Espinosa Anke, Steven Schockaert:
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors. COLING 2018: 2653-2665 - [c97]Thomas Ager, Ondrej Kuzelka, Steven Schockaert:
Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces. CoNLL 2018: 530-540 - [c96]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. EMNLP 2018: 294-304 - [c95]Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados, Steven Schockaert, Horacio Saggion:
Interpretable Emoji Prediction via Label-Wise Attention LSTMs. EMNLP 2018: 4766-4771 - [c94]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Mapping Wildlife Species Distribution With Social Media: Augmenting Text Classification With Species Names (Short Paper). GIScience 2018: 34:1-34:6 - [c93]Zied Bouraoui, Steven Schockaert:
Learning Conceptual Space Representations of Interrelated Concepts. IJCAI 2018: 1760-1766 - [c92]Steven Schockaert, Sanjiang Li:
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces. IJCAI 2018: 1963-1969 - [c91]Víctor Gutiérrez-Basulto, Steven Schockaert:
From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules. KR 2018: 379-388 - [c90]Luis Espinosa Anke, Steven Schockaert:
Syntactically Aware Neural Architectures for Definition Extraction. NAACL-HLT (2) 2018: 378-385 - [c89]Ondrej Kuzelka, Yuyi Wang, Steven Schockaert:
VC-Dimension Based Generalization Bounds for Relational Learning. ECML/PKDD (2) 2018: 259-275 - [c88]Steven Schockaert:
Knowledge Representation with Conceptual Spaces. SemDeep@COLING 2018 - [c87]Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert:
PAC-Reasoning in Relational Domains. UAI 2018: 927-936 - [e4]Fei Chao, Steven Schockaert, Qingfu Zhang:
Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK. Advances in Intelligent Systems and Computing 650, Springer 2018, ISBN 978-3-319-66938-0 [contents] - [i24]Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert:
PAC-Reasoning in Relational Domains. CoRR abs/1803.05768 (2018) - [i23]Ondrej Kuzelka, Yuyi Wang, Steven Schockaert:
VC-Dimension Based Generalization Bounds for Relational Learning. CoRR abs/1804.06188 (2018) - [i22]Zied Bouraoui, Steven Schockaert:
Learning Conceptual Space Representations of Interrelated Concepts. CoRR abs/1805.01276 (2018) - [i21]Víctor Gutiérrez-Basulto, Steven Schockaert:
From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures. CoRR abs/1805.10461 (2018) - [i20]Luis Espinosa Anke, Steven Schockaert:
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors. CoRR abs/1808.06068 (2018) - [i19]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. CoRR abs/1808.08780 (2018) - [i18]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data. CoRR abs/1810.12091 (2018) - 2017
- [j41]Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Ann Nowé, Martine De Cock:
Exact and heuristic methods for solving Boolean games. Auton. Agents Multi Agent Syst. 31(1): 66-106 (2017) - [j40]Didier Dubois, Henri Prade, Steven Schockaert:
Generalized possibilistic logic: Foundations and applications to qualitative reasoning about uncertainty. Artif. Intell. 252: 139-174 (2017) - [j39]Elie Merhej, Steven Schockaert, Martine De Cock:
Repairing inconsistent answer set programs using rules of thumb: A gene regulatory networks case study. Int. J. Approx. Reason. 83: 243-264 (2017) - [c86]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inductive Reasoning about Ontologies Using Conceptual Spaces. AAAI 2017: 4364-4370 - [c85]Shoaib Jameel, Steven Schockaert:
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. CoNLL 2017: 123-133 - [c84]Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Using Flickr for Characterizing the Environment: An Exploratory Analysis. COSIT 2017: 21:1-21:13 - [c83]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Induction of Interpretable Possibilistic Logic Theories from Relational Data. IJCAI 2017: 1153-1159 - [c82]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. ILP 2017: 140-151 - [c81]Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Pruning Hypothesis Spaces Using Learned Domain Theories. ILP 2017: 152-168 - [c80]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. SIGIR 2017: 375-384 - [c79]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
MEmbER: Max-Margin Based Embeddings for Entity Retrieval. SIGIR 2017: 783-792 - [i17]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Induction of Interpretable Possibilistic Logic Theories from Relational Data. CoRR abs/1705.07095 (2017) - [i16]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. CoRR abs/1706.07276 (2017) - [i15]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Probabilistic Relation Induction in Vector Space Embeddings. CoRR abs/1708.06266 (2017) - [i14]Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert:
Relational Marginal Problems: Theory and Estimation. CoRR abs/1709.05825 (2017) - [i13]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. CoRR abs/1710.02221 (2017) - [i12]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Modeling Semantic Relatedness using Global Relation Vectors. CoRR abs/1711.05294 (2017) - 2016
- [j38]Zhiguo Long, Matt Duckham, Sanjiang Li, Steven Schockaert:
Indexing large geographic datasets with compact qualitative representation. Int. J. Geogr. Inf. Sci. 30(6): 1072-1094 (2016) - [j37]Steven Van Canneyt, Steven Schockaert, Bart Dhoedt:
Categorizing events using spatio-temporal and user features from Flickr. Inf. Sci. 328: 76-96 (2016) - [j36]Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé:
Solving stable matching problems using answer set programming. Theory Pract. Log. Program. 16(3): 247-268 (2016) - [c78]Shoaib Jameel, Steven Schockaert:
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. COLING 2016: 1849-1860 - [c77]Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock:
Formalizing Commitment-Based Deals in Boolean Games. ECAI 2016: 329-337 - [c76]