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ORCIDRegina Barzilay
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2020
[j21]Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay:
The Limitations of Stylometry for Detecting Machine-Generated Fake News. Comput. Linguistics 46(2): 499-510 (2020)- [j20]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. J. Chem. Inf. Model. 60(8): 3770-3780 (2020) - [c111]Darsh J. Shah, Tal Schuster, Regina Barzilay:
Automatic Fact-Guided Sentence Modification. AAAI 2020: 8791-8798 - [c110]Luu Anh Tuan, Darsh J. Shah, Regina Barzilay:
Capturing Greater Context for Question Generation. AAAI 2020: 9065-9072 - [c109]Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi S. Jaakkola:
Blank Language Models. EMNLP (1) 2020: 5186-5198 - [c108]Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay:
CapWAP: Image Captioning with a Purpose. EMNLP (1) 2020: 8755-8768 - [c107]Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. ICLR 2020 - [c106]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Hierarchical Generation of Molecular Graphs using Structural Motifs. ICML 2020: 4839-4848 - [c105]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Multi-Objective Molecule Generation using Interpretable Substructures. ICML 2020: 4849-4859 - [c104]Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola:
Educating Text Autoencoders: Latent Representation Guidance via Denoising. ICML 2020: 8719-8729 - [c103]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. ICML 2020: 10716-10726 - [i59]Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi S. Jaakkola:
Blank Language Models. CoRR abs/2002.03079 (2020) - [i58]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Hierarchical Generation of Molecular Graphs using Structural Motifs. CoRR abs/2002.03230 (2020) - [i57]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Composing Molecules with Multiple Property Constraints. CoRR abs/2002.03244 (2020) - [i56]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. CoRR abs/2002.04720 (2020) - [i55]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Adaptive Invariance for Molecule Property Prediction. CoRR abs/2005.03004 (2020) - [i54]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. CoRR abs/2005.10036 (2020) - [i53]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Domain Extrapolation via Regret Minimization. CoRR abs/2006.03908 (2020) - [i52]Gary Bécigneul, Octavian-Eugen Ganea, Benson Chen, Regina Barzilay, Tommi S. Jaakkola:
Optimal Transport Graph Neural Networks. CoRR abs/2006.04804 (2020) - [i51]Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay:
Learning Graph Models for Template-Free Retrosynthesis. CoRR abs/2006.07038 (2020) - [i50]Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler:
Improved Conditional Flow Models for Molecule to Image Synthesis. CoRR abs/2006.08532 (2020) - [i49]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels. CoRR abs/2007.03114 (2020) - [i48]Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay:
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior. CoRR abs/2010.11054 (2020) - [i47]Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay:
CapWAP: Captioning with a Purpose. CoRR abs/2011.04264 (2020) - [i46]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models. CoRR abs/2011.04651 (2020)
2010 – 2019
- 2019
- [j19]Kevin Yang, Kyle Swanson
, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(8): 3370-3388 (2019) - [j18]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Correction to Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(12): 5304-5305 (2019) - [c102]Jiaming Luo, Yuan Cao, Regina Barzilay:
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B. ACL (1) 2019: 3146-3155 - [c101]Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. EMNLP/IJCNLP (1) 2019: 3417-3423 - [c100]Adam Fisch, Jiang Guo, Regina Barzilay:
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. EMNLP/IJCNLP (1) 2019: 5713-5719 - [c99]John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola:
Generative Models for Graph-Based Protein Design. DGS@ICLR 2019 - [c98]Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization. ICLR (Poster) 2019 - [c97]Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. NAACL-HLT (1) 2019: 751-761 - [c96]Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson:
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. NAACL-HLT (1) 2019: 1599-1613 - [c95]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. NAACL-HLT (1) 2019: 3705-3717 - [c94]John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola:
Generative Models for Graph-Based Protein Design. NeurIPS 2019: 15794-15805 - [i45]Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson:
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. CoRR abs/1902.09492 (2019) - [i44]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Are Learned Molecular Representations Ready For Prime Time? CoRR abs/1904.01561 (2019) - [i43]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. CoRR abs/1904.01606 (2019) - [i42]Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, Kevin S. Hughes:
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. CoRR abs/1904.12617 (2019) - [i41]Benson Chen, Regina Barzilay, Tommi S. Jaakkola:
Path-Augmented Graph Transformer Network. CoRR abs/1905.12712 (2019) - [i40]Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola:
Latent Space Secrets of Denoising Text-Autoencoders. CoRR abs/1905.12777 (2019) - [i39]Jiaming Luo, Yuan Cao, Regina Barzilay:
Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B. CoRR abs/1906.06718 (2019) - [i38]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules. CoRR abs/1907.11223 (2019) - [i37]Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. CoRR abs/1908.05267 (2019) - [i36]Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. CoRR abs/1908.06039 (2019) - [i35]Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay:
Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection. CoRR abs/1908.09805 (2019) - [i34]Adam Fisch, Jiang Guo, Regina Barzilay:
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. CoRR abs/1909.09279 (2019) - [i33]Darsh J. Shah, Tal Schuster, Regina Barzilay:
Automatic Fact-guided Sentence Modification. CoRR abs/1909.13838 (2019) - [i32]Benson Chen, Tianxiao Shen, Tommi S. Jaakkola, Regina Barzilay:
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis. CoRR abs/1910.09688 (2019) - [i31]Luu Anh Tuan, Darsh J. Shah, Regina Barzilay:
Capturing Greater Context for Question Generation. CoRR abs/1910.10274 (2019) - 2018
- [j17]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Grounding Language for Transfer in Deep Reinforcement Learning. J. Artif. Intell. Res. 63: 849-874 (2018) - [j16]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. Trans. Assoc. Comput. Linguistics 6: 49-61 (2018) - [c93]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. EMNLP 2018: 1903-1913 - [c92]Jiang Guo, Darsh J. Shah, Regina Barzilay:
Multi-Source Domain Adaptation with Mixture of Experts. EMNLP 2018: 4694-4703 - [c91]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Junction Tree Variational Autoencoder for Molecular Graph Generation. ICML 2018: 2328-2337 - [c90]Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson:
The three pillars of machine programming. MAPL@PLDI 2018: 69-80 - [i30]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Junction Tree Variational Autoencoder for Molecular Graph Generation. CoRR abs/1802.04364 (2018) - [i29]Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson:
The Three Pillars of Machine-Based Programming. CoRR abs/1803.07244 (2018) - [i28]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. CoRR abs/1808.09367 (2018) - [i27]Jiang Guo, Darsh J. Shah, Regina Barzilay:
Multi-Source Domain Adaptation with Mixture of Experts. CoRR abs/1809.02256 (2018) - [i26]Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. CoRR abs/1810.13083 (2018) - [i25]Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization. CoRR abs/1812.01070 (2018) - 2017
- [j15]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. Trans. Assoc. Comput. Linguistics 5: 353-364 (2017) - [j14]Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola:
Aspect-augmented Adversarial Networks for Domain Adaptation. Trans. Assoc. Comput. Linguistics 5: 515-528 (2017) - [c89]Tao Lei, Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Deriving Neural Architectures from Sequence and Graph Kernels. ICML 2017: 2024-2033 - [c88]Wengong Jin, Connor W. Coley, Regina Barzilay, Tommi S. Jaakkola:
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network. NIPS 2017: 2607-2616 - [c87]Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Style Transfer from Non-Parallel Text by Cross-Alignment. NIPS 2017: 6830-6841 - [e2]Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-75-3 [contents] - [e1]Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-76-0 [contents] - [i24]Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola:
Aspect-augmented Adversarial Networks for Domain Adaptation. CoRR abs/1701.00188 (2017) - [i23]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. CoRR abs/1702.07015 (2017) - [i22]Tao Lei, Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Deriving Neural Architectures from Sequence and Graph Kernels. CoRR abs/1705.09037 (2017) - [i21]Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Style Transfer from Non-Parallel Text by Cross-Alignment. CoRR abs/1705.09655 (2017) - [i20]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. CoRR abs/1707.03938 (2017) - [i19]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Deep Transfer in Reinforcement Learning by Language Grounding. CoRR abs/1708.00133 (2017) - [i18]Wengong Jin, Connor W. Coley, Regina Barzilay, Tommi S. Jaakkola:
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network. CoRR abs/1709.04555 (2017) - 2016
- [c86]Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Rationalizing Neural Predictions. EMNLP 2016: 107-117 - [c85]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP 2016: 1918-1923 - [c84]Youyang Gu, Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Learning to refine text based recommendations. EMNLP 2016: 2103-2108 - [c83]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP 2016: 2355-2365 - [c82]Tianxiao Shen, Tao Lei, Regina Barzilay:
Making Dependency Labeling Simple, Fast and Accurate. HLT-NAACL 2016: 1089-1094 - [c81]Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez:
Semi-supervised Question Retrieval with Gated Convolutions. HLT-NAACL 2016: 1279-1289 - [c80]Yuan Zhang, David Gaddy, Regina Barzilay, Tommi S. Jaakkola:
Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings. HLT-NAACL 2016: 1307-1317 - [c79]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. SPLASH (Companion Volume) 2016: 39-40 - [i17]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR abs/1603.07954 (2016) - [i16]Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Rationalizing Neural Predictions. CoRR abs/1606.04155 (2016) - [i15]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. CoRR abs/1607.02902 (2016) - [i14]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR abs/1608.03000 (2016) - 2015
- [j13]Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson:
Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment". Trans. Assoc. Comput. Linguistics 3: 101 (2015) - [j12]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. Trans. Assoc. Comput. Linguistics 3: 157-167 (2015) - [c78]Karthik Narasimhan, Regina Barzilay:
Machine Comprehension with Discourse Relations. ACL (1) 2015: 1253-1262 - [c77]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games using Deep Reinforcement Learning. EMNLP 2015: 1-11 - [c76]Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Molding CNNs for text: non-linear, non-consecutive convolutions. EMNLP 2015: 1565-1575 - [c75]Yuan Zhang, Regina Barzilay:
Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing. EMNLP 2015: 1857-1867 - [c74]Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish:
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing. HLT-NAACL 2015: 42-52 - [c73]Tao Lei, Yuan Zhang, Lluís Màrquez i Villodre, Alessandro Moschitti, Regina Barzilay:
High-Order Low-Rank Tensors for Semantic Role Labeling. HLT-NAACL 2015: 1150-1160 - [i13]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. CoRR abs/1503.02335 (2015) - [i12]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games Using Deep Reinforcement Learning. CoRR abs/1506.08941 (2015) - [i11]Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Molding CNNs for text: non-linear, non-consecutive convolutions. CoRR abs/1508.04112 (2015) - [i10]Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez i Villodre:
Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models. CoRR abs/1512.05726 (2015) - 2014
- [j11]Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson:
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment. Trans. Assoc. Comput. Linguistics 2: 561-572 (2014) - [c72]Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola, Amir Globerson:
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees. ACL (1) 2014: 197-207 - [c71]Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi:
Learning to Automatically Solve Algebra Word Problems. ACL (1) 2014: 271-281 - [c70]Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola:
Low-Rank Tensors for Scoring Dependency Structures. ACL (1) 2014: 1381-1391 - [c69]Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay:
Morphological Segmentation for Keyword Spotting. EMNLP 2014: 880-885 - [c68]Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola:
Greed is Good if Randomized: New Inference for Dependency Parsing. EMNLP 2014: 1013-1024 - [i9]S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay:
Learning Document-Level Semantic Properties from Free-Text Annotations. CoRR abs/1401.3457 (2014) - [i8]Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger:
Content Modeling Using Latent Permutations. CoRR abs/1401.3488 (2014) - [i7]S. R. K. Branavan, David Silver, Regina Barzilay:
Learning to Win by Reading Manuals in a Monte-Carlo Framework. CoRR abs/1401.5390 (2014) - [i6]Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay:
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches. CoRR abs/1401.5695 (2014) - [i5]Christina Sauper, Regina Barzilay:
Automatic Aggregation by Joint Modeling of Aspects and Values. CoRR abs/1401.6422 (2014) - 2013
- [j10]Christina Sauper, Regina Barzilay:
Automatic Aggregation by Joint Modeling of Aspects and Values. J. Artif. Intell. Res. 46: 89-127 (2013) - [c67]Yuan Zhang, Regina Barzilay, Amir Globerson:
Transfer Learning for Constituency-Based Grammars. ACL (1) 2013: 291-301 - [c66]Tao Lei, Fan Long, Regina Barzilay, Martin C. Rinard:
From Natural Language Specifications to Program Input Parsers. ACL (1) 2013: 1294-1303 - [c65]Nate Kushman, Regina Barzilay:
Using Semantic Unification to Generate Regular Expressions from Natural Language. HLT-NAACL 2013: 826-836 - 2012
- [j9]S. R. K. Branavan, David Silver, Regina Barzilay:
Learning to Win by Reading Manuals in a Monte-Carlo Framework. J. Artif. Intell. Res. 43: 661-704 (2012) - [c64]S. R. K. Branavan, Nate Kushman, Tao Lei, Regina Barzilay:
Learning High-Level Planning from Text. ACL (1) 2012: 126-135 - [c63]David Stallard, Jacob Devlin, Michael Kayser, Yoong Keok Lee, Regina Barzilay:
Unsupervised Morphology Rivals Supervised Morphology for Arabic MT. ACL (2) 2012: 322-327 - [c62]Tahira Naseem, Regina Barzilay, Amir Globerson:
Selective Sharing for Multilingual Dependency Parsing. ACL (1) 2012: 629-637 - [c61]Regina Barzilay:
Learning to Behave by Reading. EACL 2012: 397 - [c60]Yuan Zhang, Roi Reichart, Regina Barzilay, Amir Globerson:
Learning to Map into a Universal POS Tagset. EMNLP-CoNLL 2012: 1368-1378 - [c59]Roi Reichart, Regina Barzilay:
Multi-Event Extraction Guided by Global Constraints. HLT-NAACL 2012: 70-79 - 2011
- [c58]Tahira Naseem, Regina Barzilay:
Using Semantic Cues to Learn Syntax. AAAI 2011 - [c57]S. R. K. Branavan, David Silver, Regina Barzilay:
Learning to Win by Reading Manuals in a Monte-Carlo Framework. ACL 2011: 268-277 - [c56]Christina Sauper, Aria Haghighi, Regina Barzilay:
Content Models with Attitude. ACL 2011: 350-358 - [c55]Edward Benson, Aria Haghighi, Regina Barzilay:
Event Discovery in Social Media Feeds. ACL 2011: 389-398 - [c54]Harr Chen, Edward Benson, Tahira Naseem, Regina Barzilay:
In-domain Relation Discovery with Meta-constraints via Posterior Regularization. ACL 2011: 530-540 - [c53]Yoong Keok Lee, Aria Haghighi, Regina Barzilay:
Modeling Syntactic Context Improves Morphological Segmentation. CoNLL 2011: 1-9 - [c52]S. R. K. Branavan, David Silver, Regina Barzilay:
Non-Linear Monte-Carlo Search in Civilization II. IJCAI 2011: 2404-2410 - [i4]Regina Barzilay, Noemie Elhadad:
Inferring Strategies for Sentence Ordering in Multidocument News Summarization. CoRR abs/1106.1820 (2011) - 2010
- [c51]Benjamin Snyder, Regina Barzilay, Kevin Knight:
A Statistical Model for Lost Language Decipherment. ACL 2010: 1048-1057 - [c50]S. R. K. Branavan, Luke S. Zettlemoyer, Regina Barzilay:
Reading between the Lines: Learning to Map High-Level Instructions to Commands. ACL 2010: 1268-1277 - [c49]Regina Barzilay:
Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation. Empirical Methods in Natural Language Generation 2010: 1-12 - [c48]