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ORCIDSteven Schockaert
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- affiliation: Cardiff University, UK
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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) - [c159]Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. ACL (Findings) 2024: 1467-1480 - [c158]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 - [c157]Amit Gajbhiye, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert:
AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings. LREC/COLING 2024: 801-811 - [c156]Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert:
Can Language Models Learn Embeddings of Propositional Logic Assertions? LREC/COLING 2024: 2766-2776 - [c155]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 - [c154]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 - [c153]Shahul ES, Jithin James, Luis Espinosa Anke, Steven Schockaert:
RAGAs: Automated Evaluation of Retrieval Augmented Generation. EACL (Demonstrations) 2024: 150-158 - [c152]Frank Mtumbuka, Steven Schockaert:
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains. EACL (1) 2024: 1768-1781 - [c151]Asahi Ushio, José Camacho-Collados, Steven Schockaert:
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. EACL (1) 2024: 2473-2486 - [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]