Segui
Oscar Täckström
Oscar Täckström
Sana
Email verificata su sanalabs.com - Home page
Titolo
Citata da
Citata da
Anno
A decomposable attention model for natural language inference
AP Parikh, O Täckström, D Das, J Uszkoreit
EMNLP 2016, 2016
17832016
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
7402013
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
2742012
Scaling autoregressive video models
D Weissenborn, O Täckström, J Uszkoreit
ICLR 2020, 2020
2462020
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
2272013
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
2192016
Semantic Role Labeling with Neural Network Factors
N FitzGerald, O Täckström, K Ganchev, D Das
EMNLP 2015, 2015
1762015
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
1442013
Universal Semantic Parsing
S Reddy, O Täckström, S Petrov, M Steedman, M Lapata
EMNLP 2017, 2017
1232017
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
1182011
Hierarchical multi-label conditional random fields for aspect-oriented opinion mining
D Marcheggiani, O Täckström, A Esuli, F Sebastiani
Advances in Information Retrieval: 36th European Conference on IR Research …, 2014
1172014
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
1132015
Discovering fine-grained sentiment with latent variable structured prediction models
O Täckström, R McDonald
1092011
Discovering fine-grained sentiment with latent variable structured prediction models
O Täckström, R McDonald
Advances in Information Retrieval, 368-374, 2011
1092011
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
1002017
Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
O Täckström
NAACL-HLT Workshop on Inducing Linguistic Structure, 2012
272012
Active Learning for Dialogue Act Classification
B Gambäck, F Olsson, O Täckström
Twelfth Annual Conference of the International Speech Communication …, 2011
242011
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
182008
An Evaluation of Bag-of-Concepts Representations in Automatic Text Classification
O Täckström
MSc Thesis - KTH Royal Institute of Technology, 2005
152005
Weakly supervised part-of-speech tagging with coupled token and type constraints
S Petrov, D Das, R McDonald, J Nivre, O Tackstrom
US Patent 9,311,299, 2016
122016
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