| A decomposable attention model for natural language inference AP Parikh, O Täckström, D Das, J Uszkoreit EMNLP 2016, 2016 | 1671 | 2016 |
| 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 | 706 | 2013 |
| 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 | 269 | 2012 |
| 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 | 223 | 2013 |
| Scaling autoregressive video models D Weissenborn, O Täckström, J Uszkoreit ICLR 2020, 2020 | 215 | 2020 |
| 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 | 209 | 2016 |
| Semantic Role Labeling with Neural Network Factors N FitzGerald, O Täckström, K Ganchev, D Das EMNLP 2015, 2015 | 170 | 2015 |
| 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 | 142 | 2013 |
| 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 | 117 | 2011 |
| Universal Semantic Parsing S Reddy, O Täckström, S Petrov, M Steedman, M Lapata EMNLP 2017, 2017 | 116 | 2017 |
| 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 | 111 | 2015 |
| Discovering fine-grained sentiment with latent variable structured prediction models O Täckström, R McDonald | 109 | 2011 |
| Discovering fine-grained sentiment with latent variable structured prediction models O Täckström, R McDonald Advances in Information Retrieval, 368-374, 2011 | 109 | 2011 |
| 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 | 108 | 2014 |
| 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 | 98 | 2017 |
| Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition O Täckström NAACL-HLT Workshop on Inducing Linguistic Structure, 2012 | 27 | 2012 |
| Active Learning for Dialogue Act Classification B Gambäck, F Olsson, O Täckström Twelfth Annual Conference of the International Speech Communication …, 2011 | 23 | 2011 |
| 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 | 17 | 2008 |
| An Evaluation of Bag-of-Concepts Representations in Automatic Text Classification O Täckström MSc Thesis - KTH Royal Institute of Technology, 2005 | 15 | 2005 |
| 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 | 11 | 2016 |
Dipanjan DasSenior Director of Research, Google Deepmind在 google.com 的电子邮件经过验证
