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Steven Schockaert
Number of Papers:- 23
Number of Citations:- 7
First ACL Paper:- 2006
Latest ACL Paper:- 2020
Venues:-
EMNLP
SemEval
ICoS
NAACL
LREC
ACL
FinNLP
*SEMEVAL
CoNLL
WS
SemDeep
COLING
WNUT
Co-Authors:-
Carla Perez Almendros
David Ahn
Etienne Kerre
Francesco Barbieri
Hiroki Sakaji
Similar Authors:-
Ukyo Honda
Sachiko Ide
Hwiyeol Jo
Stanley Jungkyu Choi
Yanrong Wu
2020
2019
2018
2017
2016
2006
A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings
COLING
Rana Alshaikh |
Zied Bouraoui |
Shelan Jeawak |
Steven Schockaert |
Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
COLING
Carla Perez Almendros |
Luis Espinosa Anke |
Steven Schockaert |
Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization
COLING
FinNLP
Tomoki Ito |
Jose Camacho Collados |
Hiroki Sakaji |
Steven Schockaert |
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification
COLING
SemEval
Shelan Jeawak |
Luis Espinosa-Anke |
Steven Schockaert |
Combining BERT with Static Word Embeddings for Categorizing Social Media
EMNLP
WNUT
Israa Alghanmi |
Luis Espinosa Anke |
Steven Schockaert |
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
LREC
Yerai Doval |
Jose Camacho-Collados |
Luis Espinosa Anke |
Steven Schockaert |
Learning Conceptual Spaces with Disentangled Facets
CoNLL
Rana Alshaikh |
Zied Bouraoui |
Steven Schockaert |
Relational Word Embeddings
ACL
Jose Camacho-Collados |
Luis Espinosa Anke |
Steven Schockaert |
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors
ACL
Shoaib Jameel |
Steven Schockaert |
Collocation Classification with Unsupervised Relation Vectors
ACL
Luis Espinosa Anke |
Steven Schockaert |
Leo Wanner |
Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection
*SEMEVAL
Carla Pérez-Almendros |
Luis Espinosa-Anke |
Steven Schockaert |
Learning Household Task Knowledge from WikiHow Descriptions
WS
Yilun Zhou |
Julie Shah |
Steven Schockaert |
Relation Induction in Word Embeddings Revisited
COLING
Zied Bouraoui |
Shoaib Jameel |
Steven Schockaert |
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
COLING
Luis Espinosa-Anke |
Steven Schockaert |
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
EMNLP
Yerai Doval |
Jose Camacho-Collados |
Luis Espinosa-Anke |
Steven Schockaert |
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
EMNLP
Francesco Barbieri |
Luis Espinosa-Anke |
Jose Camacho-Collados |
Steven Schockaert |
Horacio Saggion |
Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
CoNLL
Thomas Ager |
Ondřej Kuželka |
Steven Schockaert |
Syntactically Aware Neural Architectures for Definition Extraction
NAACL
Luis Espinosa-Anke |
Steven Schockaert |
Unsupervised Learning of Distributional Relation Vectors
ACL
Shoaib Jameel |
Zied Bouraoui |
Steven Schockaert |
Knowledge Representation with Conceptual Spaces
COLING
SemDeep
WS
Steven Schockaert |
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
CoNLL
Shoaib Jameel |
Steven Schockaert |
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
COLING
Shoaib Jameel |
Steven Schockaert |
Supporting temporal question answering: strategies for offline data collection
ICoS
WS
David Ahn |
Steven Schockaert |
Martine De Cock |
Etienne Kerre |
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