Pontus Stenetorp
Pontus Stenetorp
Lecturer, University College London
Geverifieerd e-mailadres voor is.s.u-tokyo.ac.jp - Homepage
TitelGeciteerd doorJaar
BRAT: a Web-based Tool for NLP-Assisted Text Annotation
P Stenetorp, S Pyysalo, G Topić, T Ohta, S Ananiadou, J Tsujii
13th Conference of the European Chapter of the Association for Computational …, 2012
6152012
Convolutional 2D Knowledge Graph Embeddings
T Dettmers, P Minervini, P Stenetorp, S Riedel
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1532018
Constructing datasets for multi-hop reading comprehension across documents
J Welbl, P Stenetorp, S Riedel
Transactions of the Association for Computational Linguistics 6, 287-302, 2018
612018
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka
arXiv preprint arXiv:1503.00095, 2015
442015
BioNLP Shared Task 2011: Supporting Resources
P Stenetorp, T Goran, P Sampo, O Tomoko, K Jin-Dong, J Tsujii
BioNLP 2011 Workshop, 112–120, 2011
44*2011
BioNLP shared task 2013: supporting resources
P Stenetorp, W Golik, T Hamon, DC Comeau, RI Dogan, H Liu, WJ Wilbur
Proceedings of the BioNLP Shared Task 2013 Workshop. Association for …, 2013
402013
Neural Architectures for Fine-grained Entity Type Classification
S Shimaoka, P Stenetorp, K Inui, S Riedel
arXiv preprint arXiv:1606.01341, 2016
362016
Leveraging Monolingual Data for Crosslingual Compositional Word Representations
H Soyer, P Stenetorp, A Aizawa
arXiv preprint arXiv:1412.6334, 2014
302014
An Attentive Neural Architecture for Fine-grained Entity Type Classification
S Shimaoka, P Stenetorp, K Inui, S Riedel
arXiv preprint arXiv:1604.05525, 2016
292016
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
262014
Transition-based Dependency Parsing Using Recursive Neural Networks
P Stenetorp
Deep Learning Workshop at NIPS 2013, 2013
242013
Size (and Domain) Matters: Evaluating Semantic Word Space Representations for Biomedical Text
P Stenetorp, H Soyer, S Pyysalo, S Ananiadou, T Chikayama
5th International Symposium on Semantic Mining in Biomedicine, 42-49, 2012
212012
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
T Yoneda, J Mitchell, J Welbl, P Stenetorp, S Riedel
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018
102018
Automated Extraction of Swedish Neologisms Using a Temporally Annotated Corpus
P Stenetorp
Royal Institute of Technology (KTH), 2010
92010
Sharing annotations better: RESTful Open Annotation
S Pyysalo, J Campos, JM Cejuela, F Ginter, K Hakala, C Li, P Stenetorp, ...
ACL-IJCNLP 2015, 91, 2015
82015
SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation
P Stenetorp, S Pyysalo, J Tsujii
BioNLP 2011 Workshop, 136–145, 2011
72011
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
S Kasewa, P Stenetorp, S Riedel
arXiv preprint arXiv:1810.00668, 2018
62018
On Machine Learning and Programming Languages
M Innes, S Karpinski, V Shah, D Barber, P Stenetorp, T Besard, ...
62018
Extrapolation in NLP
J Mitchell, P Minervini, P Stenetorp, S Riedel
arXiv preprint arXiv:1805.06648, 2018
52018
Learning to Reason With Adaptive Computation
M Neumann, P Stenetorp, S Riedel
arXiv preprint arXiv:1610.07647, 2016
52016
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Artikelen 1–20