default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSteven Schockaert
Person information
- affiliation: Cardiff University, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j51]Steven Schockaert
:
Embeddings as epistemic states: Limitations on the use of pooling operators for accumulating knowledge. Int. J. Approx. Reason. 171: 108981 (2024)- [j50]Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain:
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171: 109206 (2024) - [c161]Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. ACL (Findings) 2024: 1467-1480 - [c160]Nitesh Kumar, Usashi Chatterjee, Steven Schockaert:
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. ACL (Findings) 2024: 7974-7989 - [c159]Amit Gajbhiye, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert:
AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings. LREC/COLING 2024: 801-811 - [c158]Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert:
Can Language Models Learn Embeddings of Propositional Logic Assertions? LREC/COLING 2024: 2766-2776 - [c157]Akash Anil, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Steven Schockaert:
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis. LREC/COLING 2024: 9036-9049 - [c156]Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke:
WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models. LREC/COLING 2024: 17683-17695 - [c155]Shahul ES, Jithin James, Luis Espinosa Anke, Steven Schockaert:
RAGAs: Automated Evaluation of Retrieval Augmented Generation. EACL (Demonstrations) 2024: 150-158 - [c154]Frank Mtumbuka, Steven Schockaert:
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains. EACL (1) 2024: 1768-1781 - [c153]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. EACL (1) 2024: 2473-2486 - [c152]Frank Mtumbuka, Steven Schockaert:
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction. EMNLP (Findings) 2024: 6003-6022 - [c151]Victor Charpenay, Steven Schockaert:
Capturing Knowledge Graphs and Rules with Octagon Embeddings. IJCAI 2024: 3289-3297 - [i65]Victor Charpenay, Steven Schockaert:
Capturing Knowledge Graphs and Rules with Octagon Embeddings. CoRR abs/2401.16270 (2024) - [i64]Nitesh Kumar, Usashi Chatterjee, Steven Schockaert:
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. CoRR abs/2402.15337 (2024) - [i63]Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. CoRR abs/2403.16984 (2024) - [i62]Na Li, Thomas Bailleux, Zied Bouraoui, Steven Schockaert:
Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis. CoRR abs/2403.17216 (2024) - [i61]Aleksandar Pavlovic, Emanuel Sallinger, Steven Schockaert:
Differentiable Reasoning about Knowledge Graphs with Region-based Graph Neural Networks. CoRR abs/2406.09529 (2024) - [i60]Irtaza Khalid, Steven Schockaert:
Systematic Reasoning About Relational Domains With Graph Neural Networks. CoRR abs/2407.17396 (2024) - 2023
- [j49]Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Meemi: A simple method for post-processing and integrating cross-lingual word embeddings. Nat. Lang. Eng. 29(3): 746-768 (2023) - [c150]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 - [c149]Nitesh Kumar, Steven Schockaert:
Solving Hard Analogy Questions with Relation Embedding Chains. EMNLP 2023: 6224-6236 - [c148]Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert:
What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies. EMNLP 2023: 10587-10596 - [c147]Na Li, Zied Bouraoui, Steven Schockaert:
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy. EMNLP (Findings) 2023: 11744-11756 - [c146]Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert:
Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces. EMNLP 2023: 11836-11842 - [c145]Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. SIGIR 2023: 216-226 - [i59]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) - [i58]Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. CoRR abs/2305.09785 (2023) - [i57]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) - [i56]Frank Mtumbuka, Steven Schockaert:
EnCore: Pre-Training Entity Encoders using Coreference Chains. CoRR abs/2305.12924 (2023) - [i55]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. CoRR abs/2305.15002 (2023) - [i54]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) - [i53]Shahul ES, Jithin James, Luis Espinosa Anke, Steven Schockaert:
RAGAS: Automated Evaluation of Retrieval Augmented Generation. CoRR abs/2309.15217 (2023) - [i52]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
RelBERT: Embedding Relations with Language Models. CoRR abs/2310.00299 (2023) - [i51]Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert:
Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces. CoRR abs/2310.05481 (2023) - [i50]Nitesh Kumar, Steven Schockaert:
Solving Hard Analogy Questions with Relation Embedding Chains. CoRR abs/2310.12379 (2023) - [i49]Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert:
What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies. CoRR abs/2310.14793 (2023) - [i48]Frank Mtumbuka, Steven Schockaert:
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction. CoRR abs/2312.11062 (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. RW 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]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Interpretable Encoding of Densities Using Possibilistic Logic. ECAI 2016: 1239-1247 - [c75]Shoaib Jameel, Steven Schockaert:
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. ECAI 2016: 1353-1361 - [c74]Mushthofa Mushthofa, Steven Schockaert, Martine De Cock:
Computing attractors of multi-valued Gene Regulatory Networks using Fuzzy Answer Set Programming. FUZZ-IEEE 2016: 1955-1962 - [c73]Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie:
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. ICTIR 2016: 251-260 - [c72]Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie:
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. ICTIR 2016: 271-280 - [c71]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Learning Possibilistic Logic Theories from Default Rules. IJCAI 2016: 1167-1173 - [c70]Steven Schockaert, Shoaib Jameel:
Plausible Reasoning Based on Qualitative Entity Embeddings. IJCAI 2016: 4078-4081 - [c69]Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Learning Predictive Categories Using Lifted Relational Neural Networks. ILP 2016: 108-119 - [c68]Zhiguo Long, Steven Schockaert, Sanjiang Li:
Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. KR 2016: 463-472 - [c67]Elie Merhej, Steven Schockaert, T. Greg McKelvey, Martine De Cock:
Generating Conflict-Free Treatments for Patients with Comorbidity Using Answer Set Programming. KR4HC/ProHealth@HEC 2016: 111-119 - [c66]Thomas Ager, Ondrej Kuzelka, Steven Schockaert:
Inducing Symbolic Rules from Entity Embeddings using Auto-encoders. NeSy@HLAI 2016 - [e3]Steven Schockaert, Pierre Senellart:
Scalable Uncertainty Management - 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings. Lecture Notes in Computer Science 9858, Springer 2016, ISBN 978-3-319-45855-7 [contents] - [i11]Shoaib Jameel, Steven Schockaert:
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. CoRR abs/1602.05765 (2016) - [i10]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Learning Possibilistic Logic Theories from Default Rules. CoRR abs/1604.05273 (2016) - [i9]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract). CoRR abs/1611.06174 (2016) - 2015
- [j35]Steven Schockaert, Sanjiang Li:
Realizing RCC8 networks using convex regions. Artif. Intell. 218: 74-105 (2015) - [j34]Joaquín Derrac, Steven Schockaert:
Inducing semantic relations from conceptual spaces: A data-driven approach to plausible reasoning. Artif. Intell. 228: 66-94 (2015) - [j33]Marjon Blondeel, Tommaso Flaminio, Steven Schockaert, Lluís Godo, Martine De Cock:
On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief. Fuzzy Sets Syst. 276: 74-99 (2015) - [j32]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Characterizing and extending answer set semantics using possibility theory. Theory Pract. Log. Program. 15(1): 79-116 (2015) - [c65]Steven Schockaert, Joaquín Derrac:
Commonsense Reasoning Based on Betweenness and Direction in Distributional Models. AAAI Spring Symposia 2015 - [c64]Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM 2015: 103-112 - [c63]Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock:
Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic. IJCAI 2015: 2890-2896 - [c62]Didier Dubois, Henri Prade, Steven Schockaert:
Extending Answer Set Programming using Generalized Possibilistic Logic. JOWO@IJCAI 2015 - [c61]Steven Schockaert, Jae Hee Lee:
Qualitative Reasoning about Directions in Semantic Spaces. IJCAI 2015: 3207-3213 - [c60]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Constructing Markov Logic Networks from First-Order Default Rules. ILP 2015: 91-105 - [c59]Mushthofa Mushthofa, Steven Schockaert, Martine De Cock:
Solving Disjunctive Fuzzy Answer Set Programs. LPNMR 2015: 453-466 - [c58]Elie Merhej, Steven Schockaert, Martine De Cock:
Using Rules of Thumb for Repairing Inconsistent Answer Set Programs. SUM 2015: 368-381 - [c57]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Encoding Markov logic networks in Possibilistic Logic. UAI 2015: 454-463 - [p8]Martha A. Larson, Pascal Kelm, Adam Rae, Claudia Hauff, Bart Thomee, Michele Trevisiol, Jaeyoung Choi, Olivier Van Laere, Steven Schockaert, Gareth J. F. Jones, Pavel Serdyukov, Vanessa Murdock, Gerald Friedland:
The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia. Multimodal Location Estimation of Videos and Images 2015: 5-40 - [p7]Pascal Kelm, Sebastian Schmiedeke, Steven Schockaert, Thomas Sikora, Michele Trevisiol, Olivier Van Laere:
Georeferencing Flickr Resources Based on Multimodal Features. Multimodal Location Estimation of Videos and Images 2015: 127-152 - [i8]Ondrej Kuzelka, Jesse Davis, Steven Schockaert:
Encoding Markov Logic Networks in Possibilistic Logic. CoRR abs/1506.01432 (2015) - [i7]Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé:
Solving stable matching problems using answer set programming. CoRR abs/1512.05247 (2015) - 2014
- [j31]Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Fuzzy autoepistemic logic and its relation to fuzzy answer set programming. Fuzzy Sets Syst. 239: 51-80 (2014) - [j30]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Semantics for possibilistic answer set programs: Uncertain rules versus rules with uncertain conclusions. Int. J. Approx. Reason. 55(2): 739-761 (2014) - [j29]Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Complexity of fuzzy answer set programming under Łukasiewicz semantics. Int. J. Approx. Reason. 55(9): 1971-2003 (2014) - [j28]Olivier Van Laere, Jonathan A. Quinn, Steven Schockaert, Bart Dhoedt:
Spatially Aware Term Selection for Geotagging. IEEE Trans. Knowl. Data Eng. 26(1): 221-234 (2014) - [j27]Olivier Van Laere, Steven Schockaert, Vlad Tanasescu, Bart Dhoedt, Christopher B. Jones:
Georeferencing Wikipedia Documents Using Data from Social Media Sources. ACM Trans. Inf. Syst. 32(3): 12:1-12:32 (2014) - [c56]Elie Merhej, Steven Schockaert, Martine De Cock, Marjon Blondeel, Daniele Alfarone, Jesse Davis:
Repairing Inconsistent Taxonomies Using MAP Inference and Rules of Thumb. Web-KRM@CIKM 2014: 31-36 - [c55]Joaquín Derrac, Steven Schockaert:
Characterising Semantic Relatedness using Interpretable Directions in Conceptual Spaces. ECAI 2014: 243-248 - [c54]Didier Dubois, Henri Prade, Steven Schockaert:
Reasoning about Uncertainty and Explicit Ignorance in Generalized Possibilistic Logic. ECAI 2014: 261-266 - [c53]Mushthofa Mushthofa, Steven Schockaert, Martine De Cock:
A finite-valued solver for disjunctive fuzzy answer set programs. ECAI 2014: 645-650 - [c52]Joaquín Derrac, Steven Schockaert:
Enriching Taxonomies of Place Types Using Flickr. FoIKS 2014: 174-192 - [c51]Steven Van Canneyt, Steven Schockaert, Bart Dhoedt:
Estimating the semantic type of events using location features from Flickr. GIR 2014: 11:1-11:8 - [c50]Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Martine De Cock, Ann Nowé:
Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns . ICAART (2) 2014: 50-59 - [c49]Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé:
Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information. JELIA 2014: 196-209 - [c48]Sofie De Clercq, Kim Bauters, Steven Schockaert, Martine De Cock, Ann Nowé:
Using Answer Set Programming for Solving Boolean Games. KR 2014 - [c47]Steven Van Canneyt, Matthias Feys, Steven Schockaert, Thomas Demeester, Chris Develder, Bart Dhoedt:
Detecting Newsworthy Topics in Twitter. SNOW-DC@WWW 2014: 25-32 - [p6]Steven Schockaert, Henri Prade:
Completing Symbolic Rule Bases Using Betweenness and Analogical Proportion. Computational Approaches to Analogical Reasoning 2014: 195-215 - [i6]Steven Schockaert, Sanjiang Li:
Realizing RCC8 networks using convex regions. CoRR abs/1410.2442 (2014) - 2013
- [j26]Steven Schockaert, Henri Prade:
Interpolative and extrapolative reasoning in propositional theories using qualitative knowledge about conceptual spaces. Artif. Intell. 202: 86-131 (2013) - [j25]Steven Van Canneyt, Steven Schockaert, Bart Dhoedt:
Discovering and Characterizing Places of Interest Using Flickr and Twitter. Int. J. Semantic Web Inf. Syst. 9(3): 77-104 (2013) - [j24]Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Using semi-structured data for assessing research paper similarity. Inf. Sci. 221: 245-261 (2013) - [j23]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Georeferencing Flickr resources based on textual meta-data. Inf. Sci. 238: 52-74 (2013) - [j22]Kim Bauters, Steven Schockaert, Jeroen Janssen, Dirk Vermeir, Martine De Cock:
Expressiveness of communication in answer set programming. Theory Pract. Log. Program. 13(3): 361-394 (2013) - [c46]Chris Cornelis, Martine De Cock, Glad Deschrijver, Mike Nachtegael, Steven Schockaert:
An Excellent Guest Professor at Ghent University. A Tribute to Prof. Dr. Da Ruan 2013: 109-114 - [c45]Steven Schockaert, Sanjiang Li:
Combining RCC5 Relations with Betweenness Information. IJCAI 2013: 1083-1089 - [c44]Steven Schockaert, Henri Prade:
Interpolative Reasoning with Default Rules. IJCAI 2013: 1090-1096 - [c43]Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees. IJCAI 2013: 3205-3206 - [c42]Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé:
Modeling Stable Matching Problems with Answer Set Programming. RuleML 2013: 68-83 - [p5]Pascal Kelm, Vanessa Murdock, Sebastian Schmiedeke, Steven Schockaert, Pavel Serdyukov, Olivier Van Laere:
Georeferencing in Social Networks. Social Media Retrieval 2013: 115-141 - [p4]Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Fuzzy Answer Set Programming: An Introduction. Soft Computing: State of the Art Theory and Novel Applications 2013: 209-222 - [i5]Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé:
Modeling Stable Matching Problems with Answer Set Programming. CoRR abs/1302.7251 (2013) - [i4]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Characterizing and Extending Answer Set Semantics using Possibility Theory. CoRR abs/1312.0127 (2013) - 2012
- [b2]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Answer Set Programming for Continuous Domains - A Fuzzy Logic Approach. Atlantis Computational Intelligence Systems 5, Atlantis Press 2012, ISBN 978-94-91216-58-9, pp. I-IX, 1-173 - [j21]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
A core language for fuzzy answer set programming. Int. J. Approx. Reason. 53(4): 660-692 (2012) - [j20]Steven Schockaert, Jeroen Janssen, Dirk Vermeir:
Satisfiability Checking in Łukasiewicz Logic as Finite Constraint Satisfaction. J. Autom. Reason. 49(4): 493-550 (2012) - [j19]Didier Dubois, Henri Prade, Steven Schockaert:
Règles et métarègles en théorie des possibilités. De la logique possibiliste à la programmation par ensembles-réponses. Rev. d'Intelligence Artif. 26(1-2): 63-83 (2012) - [j18]Steven Schockaert, Jeroen Janssen, Dirk Vermeir:
Fuzzy Equilibrium Logic: Declarative Problem Solving in Continuous Domains. ACM Trans. Comput. Log. 13(4): 33:1-33:39 (2012) - [j17]Jeroen Janssen, Dirk Vermeir, Steven Schockaert, Martine De Cock:
Reducing fuzzy answer set programming to model finding in fuzzy logics. Theory Pract. Log. Program. 12(6): 811-842 (2012) - [j16]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Georeferencing Flickr photos using language models at different levels of granularity: An evidence based approach. J. Web Semant. 16: 17-31 (2012) - [c41]Steven Schockaert, Sanjiang Li:
Convex Solutions of RCC8 Networks. ECAI 2012: 726-731 - [c40]Steven Van Canneyt, Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Using social media to find places of interest: a case study. GEOCROWD 2012: 2-8 - [c39]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Possible and Necessary Answer Sets of Possibilistic Answer Set Programs. ICTAI 2012: 836-843 - [c38]Didier Dubois, Henri Prade, Steven Schockaert:
Stable Models in Generalized Possibilistic Logic. KR 2012 - [c37]Olivier Van Laere, Steven Schockaert, Jonathan A. Quinn, Frank C. Langbein, Bart Dhoedt:
Ghent and Cardiff University at the 2012 Placing Task. MediaEval 2012 - [c36]Steven Van Canneyt, Steven Schockaert, Olivier Van Laere, Bart Dhoedt:
Detecting Places of Interest Using Social Media. Web Intelligence 2012: 447-451 - [i3]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Possibilistic Answer Set Programming Revisited. CoRR abs/1203.3466 (2012) - 2011
- [j15]Steven Schockaert, Henri Prade:
Solving conflicts in information merging by a flexible interpretation of atomic propositions. Artif. Intell. 175(11): 1815-1855 (2011) - [j14]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Aggregated Fuzzy Answer Set Programming. Ann. Math. Artif. Intell. 63(2): 103-147 (2011) - [j13]Steven Schockaert, Philip David Smart, Florian A. Twaroch:
Generating approximate region boundaries from heterogeneous spatial information: An evolutionary approach. Inf. Sci. 181(2): 257-283 (2011) - [j12]Didier Dubois, Henri Prade, Steven Schockaert:
Rules and meta-rules in the framework of possibility theory and possibilistic logic. Sci. Iran. 18(3): 566-573 (2011) - [j11]Steven Schockaert:
Vague regions in Geographic Information Retrieval. ACM SIGSPATIAL Special 3(2): 24-28 (2011) - [c35]Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees. ECSQARU 2011: 616-627 - [c34]Henri Prade, Steven Schockaert:
Completing rule bases in symbolic domains by analogy making. EUSFLAT Conf. 2011: 928-934 - [c33]Kim Bauters, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Communicating ASP and the Polynomial Hierarchy. LPNMR 2011: 67-79 - [c32]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Ghent University at the 2011 Placing Task. MediaEval 2011 - [c31]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Finding locations of flickr resources using language models and similarity search. ICMR 2011: 48 - [c30]Steven Schockaert, Henri Prade:
Interpolation and Extrapolation in Conceptual Spaces: A Case Study in the Music Domain. RR 2011: 217-231 - [c29]Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Finding Similar Research Papers using Language Models. SPIM 2011: 106-113 - [c28]Steven Schockaert, Henri Prade:
Qualitative Reasoning about Incomplete Categorization Rules Based on Interpolation and Extrapolation in Conceptual Spaces. SUM 2011: 303-316 - [c27]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Weak and Strong Disjunction in Possibilistic ASP. SUM 2011: 475-488 - [p3]Steven Schockaert, Nataliya Makarytska, Martine De Cock:
Fuzzy Methods on the Web: A Critical Discussion. 35 Years of Fuzzy Set Theory 2011: 237-266 - [e2]Chris Cornelis, Glad Deschrijver, Mike Nachtegael, Steven Schockaert, Yun Shi:
35 Years of Fuzzy Set Theory - Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre. Studies in Fuzziness and Soft Computing 261, Springer 2011, ISBN 978-3-642-16628-0 [contents] - [i2]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Reducing Fuzzy Answer Set Programming to Model Finding in Fuzzy Logics. CoRR abs/1104.5133 (2011) - [i1]Kim Bauters, Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Expressiveness of Communication in Answer Set Programming. CoRR abs/1109.2434 (2011) - 2010
- [b1]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Reasoning About Fuzzy Temporal and Spatial Information from the Web. Intelligent Information Systems 3, World Scientific 2010, ISBN 978-981-4307-89-5, pp. 1-608 - [j10]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Reasoning about fuzzy temporal information from the web: towards retrieval of historical events. Soft Comput. 14(8): 869-886 (2010) - [c26]Steven Schockaert, Henri Prade:
An Inconsistency-Tolerant Approach to Information Merging Based on Proposition Relaxation. AAAI 2010: 363-368 - [c25]Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Metadata Impact on Research Paper Similarity. ECDL 2010: 457-460 - [c24]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Towards automated georeferencing of Flickr photos. GIR 2010 - [c23]Kim Bauters, Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Communicating Answer Set Programs. ICLP (Technical Communications) 2010: 34-43 - [c22]Olivier Van Laere, Steven Schockaert, Bart Dhoedt:
Combining Multi-resolution Evidence for Georeferencing Flickr Images. SUM 2010: 347-360 - [c21]Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Possibilistic Answer Set Programming Revisited. UAI 2010: 48-55 - [p2]Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert:
Introduction: Uncertainty Issues in Spatial Information. Methods for Handling Imperfect Spatial Information 2010: 1-11 - [p1]Steven Schockaert, Philip David Smart:
Generating Fuzzy Regions from Conflicting Spatial Information. Methods for Handling Imperfect Spatial Information 2010: 211-239 - [e1]Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert:
Methods for Handling Imperfect Spatial Information. Studies in Fuzziness and Soft Computing 256, Springer 2010, ISBN 978-3-642-14754-8 [contents]
2000 – 2009
- 2009
- [j9]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Spatial reasoning in a fuzzy region connection calculus. Artif. Intell. 173(2): 258-298 (2009) - [j8]Steven Schockaert, Martine De Cock:
Efficient Algorithms for Fuzzy Qualitative Temporal Reasoning. IEEE Trans. Fuzzy Syst. 17(4): 794-808 (2009) - [c20]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
Fuzzy Answer Set Programming with Literal Preferences. IFSA/EUSFLAT Conf. 2009: 1347-1352 - [c19]Steven Schockaert, Henri Prade:
Merging Conflicting Propositional Knowledge by Similarity. ICTAI 2009: 224-228 - [c18]Steven Schockaert, Jeroen Janssen, Dirk Vermeir, Martine De Cock:
Answer Sets in a Fuzzy Equilibrium Logic. RR 2009: 135-149 - [c17]Steven Schockaert, Jeroen Janssen, Dirk Vermeir, Martine De Cock:
Finite Satisfiability in Infinite-Valued Lukasiewicz Logic. SUM 2009: 240-254 - [c16]Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock:
General Fuzzy Answer Set Programs. WILF 2009: 352-359 - 2008
- [j7]Steven Schockaert, Martine De Cock:
Temporal reasoning about fuzzy intervals. Artif. Intell. 172(8-9): 1158-1193 (2008) - [j6]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Location approximation for local search services using natural language hints. Int. J. Geogr. Inf. Sci. 22(3): 315-336 (2008) - [j5]Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy region connection calculus: Representing vague topological information. Int. J. Approx. Reason. 48(1): 314-331 (2008) - [j4]Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy region connection calculus: An interpretation based on closeness. Int. J. Approx. Reason. 48(1): 332-347 (2008) - [j3]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Fuzzifying Allen's Temporal Interval Relations. IEEE Trans. Fuzzy Syst. 16(2): 517-533 (2008) - [c15]Steven Schockaert, Philip David Smart, Alia I. Abdelmoty, Christopher B. Jones:
Mining Topological Relations from the Web. DEXA Workshops 2008: 652-656 - [c14]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Modelling nearness and cardinal directions between fuzzy regions. FUZZ-IEEE 2008: 1548-1555 - [c13]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Acquiring Vague Temporal Information from the Web. Web Intelligence/IAT Workshops 2008: 265-268 - 2007
- [j2]Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Clustering web search results using fuzzy ants. Int. J. Intell. Syst. 22(5): 455-474 (2007) - [c12]Steven Schockaert, Martine De Cock:
Reasoning about vague topological information. CIKM 2007: 593-602 - [c11]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Qualitative Temporal Reasoning about Vague Events. IJCAI 2007: 569-574 - [c10]Steven Schockaert, Martine De Cock:
Neighborhood restrictions in geographic IR. SIGIR 2007: 167-174 - [c9]Steven Schockaert:
Fuzzy temporal and spatial reasoning for intelligent information retrieval. SIGIR 2007: 921 - 2006
- [c8]Steven Schockaert, David Ahn, Martine De Cock, Etienne E. Kerre:
Question Answering with Imperfect Temporal Information. FQAS 2006: 647-658 - [c7]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
An Efficient Characterization of Fuzzy Temporal Interval Relations. FUZZ-IEEE 2006: 1894-1901 - [c6]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Towards Fuzzy Spatial Reasoning in Geographic IR Systems. GIR 2006 - [c5]Steven Schockaert, Patricia Victor, Geert-Jan Houben, Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Reflections on Modelling Vagueness in Description Logics. URSW 2006 - 2005
- [j1]Steven Schockaert, Martine De Cock, Chris Cornelis:
Relatedness of fuzzy sets. J. Intell. Fuzzy Syst. 16(4): 297-303 (2005) - [c4]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Fuzzy Constraint Based Answer Validation. AWIC 2005: 394-400 - [c3]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Automatic Acquisition of Fuzzy Footprints. OTM Workshops 2005: 1077-1086 - [c2]Steven Schockaert, Martine De Cock, Etienne E. Kerre:
Imprecise Temporal Interval Relations. WILF 2005: 108-113 - 2004
- [c1]Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy Ant Based Clustering. ANTS Workshop 2004: 342-349
Coauthor Index
[j44] [j43] [j41] [j39] [j36] [c77] [c74] [c67] [j33] [j32] [c63] [c59] [c58] [i7] [j31] [j30] [j29] [c56] [c53] [c50] [c49] [c48] [j22] [c46] [c43] [c42] [p4] [i5] [i4] [b2] [j21] [j17] [c39] [i3] [j14] [c35] [c33] [c27] [p3] [i2] [i1] [b1] [j10] [c23] [c21] [j9] [j8] [c20] [c18] [c17] [c16] [j7] [j6] [j5] [j4] [j3] [c14] [c13] [j2] [c12] [c11] [c10] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c2] [c1]
Yazmín Ibáñez-García
aka: Yazmín Angélica Ibáñez-García
aka: Yazmín Angélica Ibáñez-García
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 21:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
