Oscar Täckström
Oscar Täckström
Director of Research, Sana Labs
Verifierad e-postadress på sanalabs.com
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A decomposable attention model for natural language inference
AP Parikh, O Täckström, D Das, J Uszkoreit
EMNLP 2016, 2016
5452016
Universal Dependency Annotation for Multilingual Parsing
R McDonald, J Nivre, Y Quirmbach-Brundage, Y Goldberg, D Das, ...
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
3742013
Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
O Täckström, R McDonald, J Uszkoreit
The 2012 Conference of the North American Chapter of the Association for …, 2012
1652012
Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging
O Täckström, D Das, S Petrov, R McDonald, J Nivre
Transactions of the Association for Computational Linguistics 1 (1), 1-12, 2013
1402013
Transforming Dependency Structures to Logical Forms for Semantic Parsing
S Reddy, O Täckström, M Collins, T Kwiatkowski, D Das, M Steedman, ...
Transactions of the Association for Computational Linguistics 4, 2016
1082016
Discovering fine-grained sentiment with latent variable structured prediction models
O Täckström, R McDonald
952011
Discovering fine-grained sentiment with latent variable structured prediction models
O Täckström, R McDonald
Advances in Information Retrieval, 368-374, 2011
952011
Semantic Role Labeling with Neural Network Factors
N FitzGerald, O Täckström, K Ganchev, D Das
EMNLP 2015, 2015
842015
Target Language Adaptation of Discriminative Transfer Parsers
O Täckström, R McDonald, J Nivre
The 2013 Conference of the North American Chapter of the Association for …, 2013
822013
Semi-supervised latent variable models for sentence-level sentiment analysis
O Täckström, R McDonald
The 49th Annual Meeting of the Association for Computational Linguistics …, 2011
782011
Hierarchical multi-label conditional random fields for aspect-oriented opinion mining
D Marcheggiani, O Täckström, A Esuli, F Sebastiani
European conference on information retrieval, 273-285, 2014
572014
Efficient Inference and Structured Learning for Semantic Role Labeling
O Täckström, K Ganchev, D Das
Transactions of the Association for Computational Linguistics 3, 29-41, 2015
552015
Universal Semantic Parsing
S Reddy, O Täckström, S Petrov, M Steedman, M Lapata
EMNLP 2017, 2017
352017
Neural Paraphrase Identification of Questions with Noisy Pretraining
GS Tomar, T Duque, O Täckström, J Uszkoreit, D Das
ACL 2017 - First Workshop on Subword and Character Level Models in NLP, 2017
342017
Active Learning for Dialogue Act Classification
B Gambäck, F Olsson, O Täckström
Twelfth Annual Conference of the International Speech Communication …, 2011
182011
Mixing and blending syntactic and semantic dependencies
Y Samuelsson, O Täckström, S Velupillai, J Eklund, M Fišel, M Saers
The Twelfth Conference on Computational Natural Language Learning (CoNLL …, 2008
162008
Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
O Täckström
NAACL-HLT Workshop on Inducing Linguistic Structure, 2012
122012
An Evaluation of Bag-of-Concepts Representations in Automatic Text Classification
O Täckström
MSc Thesis - KTH Royal Institute of Technology, 2005
122005
Uncertainty detection as approximate max-margin sequence labelling
O Täckström, S Velupillai, M Hassel, G Eriksson, H Dalianis, J Karlgren
The Fourteenth Conference on Computational Natural Language Learning (CoNLL …, 2010
82010
Scaling autoregressive video models
D Weissenborn, O Täckström, J Uszkoreit
ICLR 2020, 2020
72020
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Artiklar 1–20