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Regina Barzilay
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
- [j31]Vincent Fan
, Yujie Qian
OpenChemIE: An Information Extraction Toolkit for Chemistry Literature. J. Chem. Inf. Model. 64(14): 5521-5534 (2024) - [j30]Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola:
Improved motif-scaffolding with SE(3) flow matching. Trans. Mach. Learn. Res. 2024 (2024) - [c144]Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola:
Deep Confident Steps to New Pockets: Strategies for Docking Generalization. ICLR 2024 - [c143]Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola:
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. ICLR 2024 - [c142]Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola, Regina Barzilay, Ila R. Fiete:
Improving protein optimization with smoothed fitness landscapes. ICLR 2024 - [c141]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. ICLR 2024 - [c140]Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola:
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design. ICML 2024 - [c139]Peter Mikhael, Itamar Chinn, Regina Barzilay:
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes. ICML 2024 - [c138]Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design. ICML 2024 - [c137]Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola:
Dirichlet Flow Matching with Applications to DNA Sequence Design. ICML 2024 - [i104]Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola:
Improved motif-scaffolding with SE(3) flow matching. CoRR abs/2401.04082 (2024) - [i103]Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola:
Sample, estimate, aggregate: A recipe for causal discovery foundation models. CoRR abs/2402.01929 (2024) - [i102]Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola:
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design. CoRR abs/2402.04997 (2024) - [i101]Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola:
Dirichlet Flow Matching with Applications to DNA Sequence Design. CoRR abs/2402.05841 (2024) - [i100]Gabriele Corso, Arthur Deng, Benjamin Fry
Deep Confident Steps to New Pockets: Strategies for Docking Generalization. CoRR abs/2402.18396 (2024) - [i99]Vincent Fan, Yujie Qian, Alex Wang, Amber Wang, Connor W. Coley, Regina Barzilay:
OpenChemIE: An Information Extraction Toolkit For Chemistry Literature. CoRR abs/2404.01462 (2024) - [i98]Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola:
Predicting perturbation targets with causal differential networks. CoRR abs/2410.03380 (2024) - [i97]Wenxian Shi, Menghua Wu, Regina Barzilay:
Predicting sub-population specific viral evolution. CoRR abs/2410.21518 (2024) - 2023
- [j29]Yujie Qian
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation. J. Chem. Inf. Model. 63(7): 1925-1934 (2023) - [j28]Yujie Qian
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing. J. Chem. Inf. Model. 63(13): 4030-4041 (2023) - [c136]Yujie Qian, Zhening Li, Zhengkai Tu
Predictive Chemistry Augmented with Text Retrieval. EMNLP 2023: 12731-12745 - [c135]Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard:
InfoShape: Task-Based Neural Data Shaping via Mutual Information. ICASSP 2023: 1-5 - [c134]Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. ICLR 2023 - [c133]Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola:
Efficiently Controlling Multiple Risks with Pareto Testing. ICLR 2023 - [c132]Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola:
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem. ICLR 2023 - [c131]Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola:
SE(3) diffusion model with application to protein backbone generation. ICML 2023: 40001-40039 - [i96]Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola:
SE(3) diffusion model with application to protein backbone generation. CoRR abs/2302.02277 (2023) - [i95]Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. CoRR abs/2304.00047 (2023) - [i94]Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola:
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models. CoRR abs/2304.03889 (2023) - [i93]Yujie Qian, Jiang Guo, Zhengkai Tu, Connor W. Coley, Regina Barzilay:
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing. CoRR abs/2305.11845 (2023) - [i92]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. CoRR abs/2306.10193 (2023) - [i91]Andrew Kirjner, Jason Yim, Raman Samusevich
Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing. CoRR abs/2307.00494 (2023) - [i90]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i89]Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design. CoRR abs/2310.05764 (2023) - [i88]Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola:
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. CoRR abs/2310.13102 (2023) - [i87]Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola:
Risk-Controlling Model Selection via Guided Bayesian Optimization. CoRR abs/2312.01692 (2023) - [i86]Yujie Qian, Zhening Li, Zhengkai Tu, Connor W. Coley, Regina Barzilay:
Predictive Chemistry Augmented with Text Retrieval. CoRR abs/2312.04881 (2023) - 2022
- [j27]Jiang Guo
Automated Chemical Reaction Extraction from Scientific Literature. J. Chem. Inf. Model. 62(9): 2035-2045 (2022) - [j26]Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Calibrated Selective Classification. Trans. Mach. Learn. Res. 2022 (2022) - [c130]Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause:
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. ICLR 2022 - [c129]Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola:
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design. ICLR 2022 - [c128]Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola:
Crystal Diffusion Variational Autoencoder for Periodic Material Generation. ICLR 2022 - [c127]Yujia Bao, Shiyu Chang, Regina Barzilay:
Learning Stable Classifiers by Transferring Unstable Features. ICML 2022: 1483-1507 - [c126]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Conformal Prediction Sets with Limited False Positives. ICML 2022: 6514-6532 - [c125]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement. ICML 2022: 10217-10227 - [c124]Hannes Stärk, Octavian Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola:
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction. ICML 2022: 20503-20521 - [c123]Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola:
Torsional Diffusion for Molecular Conformer Generation. NeurIPS 2022 - [i85]Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay:
Syfer: Neural Obfuscation for Private Data Release. CoRR abs/2201.12406 (2022) - [i84]Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola:
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction. CoRR abs/2202.05146 (2022) - [i83]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Conformal Prediction Sets with Limited False Positives. CoRR abs/2202.07650 (2022) - [i82]Yujia Bao, Regina Barzilay:
Learning to Split for Automatic Bias Detection. CoRR abs/2204.13749 (2022) - [i81]Yujie Qian, Zhengkai Tu, Jiang Guo, Connor W. Coley, Regina Barzilay:
Robust Molecular Image Recognition: A Graph Generation Approach. CoRR abs/2205.14311 (2022) - [i80]Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola:
Torsional Diffusion for Molecular Conformer Generation. CoRR abs/2206.01729 (2022) - [i79]Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem. CoRR abs/2206.04119 (2022) - [i78]Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement. CoRR abs/2207.06616 (2022) - [i77]Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Calibrated Selective Classification. CoRR abs/2208.12084 (2022) - [i76]Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. CoRR abs/2210.01776 (2022) - [i75]Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola:
Efficiently Controlling Multiple Risks with Pareto Testing. CoRR abs/2210.07913 (2022) - [i74]Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard:
InfoShape: Task-Based Neural Data Shaping via Mutual Information. CoRR abs/2210.15034 (2022) - 2021
- [j25]Jiang Guo, A. Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen
Correction to Automated Chemical Reaction Extraction from Scientific Literature. J. Chem. Inf. Model. 61(8): 4124 (2021) - [j24]Wengong Jin, Jonathan M. Stokes, Richard T. Eastman
Deep learning identifies synergistic drug combinations for treating COVID-19. Proc. Natl. Acad. Sci. USA 118(39): e2105070118 (2021) - [j23]Jiaming Luo, Frederik Hartmann
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior. Trans. Assoc. Comput. Linguistics 9: 69-81 (2021) - [c122]Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutri-bullets: Summarizing Health Studies by Composing Segments. AAAI 2021: 13780-13788 - [c121]Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB 2021: 34:1-34:5 - [c120]Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler:
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis. CVPR 2021: 6688-6698 - [c119]Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Consistent Accelerated Inference via Confident Adaptive Transformers. EMNLP (1) 2021: 4962-4979 - [c118]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission. ICLR 2021 - [c117]Yujia Bao, Shiyu Chang, Regina Barzilay:
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. ICML 2021: 640-650 - [c116]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Few-Shot Conformal Prediction with Auxiliary Tasks. ICML 2021: 3329-3339 - [c115]Tal Schuster, Adam Fisch, Regina Barzilay:
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence. NAACL-HLT 2021: 624-643 - [c114]Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutri-bullets Hybrid: Consensual Multi-document Summarization. NAACL-HLT 2021: 5213-5222 - [c113]Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay:
Learning Graph Models for Retrosynthesis Prediction. NeurIPS 2021: 9405-9415 - [c112]Octavian Ganea, Lagnajit Pattanaik, Connor W. Coley, Regina Barzilay, Klavs F. Jensen, William H. Green Jr., Tommi S. Jaakkola:
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles. NeurIPS 2021: 13757-13769 - [i73]Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Few-shot Conformal Prediction with Auxiliary Tasks. CoRR abs/2102.08898 (2021) - [i72]Tal Schuster, Adam Fisch, Regina Barzilay:
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence. CoRR abs/2103.08541 (2021) - [i71]Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutri-bullets: Summarizing Health Studies by Composing Segments. CoRR abs/2103.11921 (2021) - [i70]Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutribullets Hybrid: Multi-document Health Summarization. CoRR abs/2104.03465 (2021) - [i69]Darsh J. Shah, Regina Barzilay:
Generating Related Work. CoRR abs/2104.08668 (2021) - [i68]Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Consistent Accelerated Inference via Confident Adaptive Transformers. CoRR abs/2104.08803 (2021) - [i67]Yujia Bao, Shiyu Chang, Regina Barzilay:
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. CoRR abs/2105.12628 (2021) - [i66]Adam Yala, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Médard:
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. CoRR abs/2106.02484 (2021) - [i65]Octavian-Eugen Ganea, Lagnajit Pattanaik, Connor W. Coley, Regina Barzilay, Klavs F. Jensen, William H. Green Jr., Tommi S. Jaakkola:
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles. CoRR abs/2106.07802 (2021) - [i64]Yujia Bao, Shiyu Chang, Regina Barzilay:
Learning Stable Classifiers by Transferring Unstable Features. CoRR abs/2106.07847 (2021) - [i63]Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola:
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design. CoRR abs/2110.04624 (2021) - [i62]Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola:
Crystal Diffusion Variational Autoencoder for Periodic Material Generation. CoRR abs/2110.06197 (2021) - [i61]Benson Chen, Xiang Fu, Regina Barzilay, Tommi S. Jaakkola:
Fragment-based Sequential Translation for Molecular Optimization. CoRR abs/2111.01009 (2021) - [i60]Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause:
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. CoRR abs/2111.07786 (2021) - 2020
- [j22]Tal Schuster
The Limitations of Stylometry for Detecting Machine-Generated Fake News. Comput. Linguistics 46(2): 499-510 (2020) - [j21]Lior Hirschfeld, Kyle Swanson
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
Learning Graph Models for Template-Free Retrosynthesis. CoRR abs/2006.07038 (2020) - [i50]Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu
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
- [j20]Kevin Yang, Kyle Swanson
Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(8): 3370-3388 (2019) - [j19]Kevin Yang, Kyle Swanson
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
- [j18]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Grounding Language for Transfer in Deep Reinforcement Learning. J. Artif. Intell. Res. 63: 849-874 (2018) - [j17]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
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 C. 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
- [j16]Connor W. Coley
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction. J. Chem. Inf. Model. 57(8): 1757-1772 (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
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: 902-907 - [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 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]Christina Sauper, Aria Haghighi, Regina Barzilay:
Incorporating Content Structure into Text Analysis Applications. EMNLP 2010: 377-387 - [c47]Yoong Keok Lee, Aria Haghighi, Regina Barzilay:
Simple Type-Level Unsupervised POS Tagging. EMNLP 2010: 853-861 - [c46]Tahira Naseem, Harr Chen, Regina Barzilay, Mark Johnson:
Using Universal Linguistic Knowledge to Guide Grammar Induction. EMNLP 2010: 1234-1244 - [c45]Benjamin Snyder, Regina Barzilay:
Climbing the Tower of Babel: Unsupervised Multilingual Learning. ICML 2010: 29-36 - [c44]Joseph Polifroni, Stephanie Seneff, S. R. K. Branavan, Chao Wang, Regina Barzilay:
Good grief, i can speak it! preliminary experiments in audio restaurant reviews. SLT 2010: 91-96
2000 – 2009
- 2009
- [j8]S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay:
Learning Document-Level Semantic Properties from Free-Text Annotations. J. Artif. Intell. Res. 34: 569-603 (2009) - [j7]Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
Content Modeling Using Latent Permutations. J. Artif. Intell. Res. 36: 129-163 (2009) - [j6]Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay:
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches. J. Artif. Intell. Res. 36: 341-385 (2009) - [c43]Benjamin Snyder, Tahira Naseem, Regina Barzilay:
Unsupervised Multilingual Grammar Induction. ACL/IJCNLP 2009: 73-81 - [c42]S. R. K. Branavan, Harr Chen, Luke Zettlemoyer, Regina Barzilay:
Reinforcement Learning for Mapping Instructions to Actions. ACL/IJCNLP 2009: 82-90 - [c41]Christina Sauper, Regina Barzilay:
Automatically Generating Wikipedia Articles: A Structure-Aware Approach. ACL/IJCNLP 2009: 208-216 - [c40]Regina Barzilay:
Probabilistic Approaches for Modeling Text Structure and their Application to Text-to-Text Generation (Invited Talk). ENLG 2009: 33 - [c39]Nate Kushman, Micah Z. Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, Martin C. Rinard:
WikiDo. HotNets 2009 - [c38]Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay:
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach. HLT-NAACL 2009: 83-91 - [c37]Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger:
Global Models of Document Structure using Latent Permutations. HLT-NAACL 2009: 371-379 - 2008
- [j5]Regina Barzilay, Mirella Lapata:
Modeling Local Coherence: An Entity-Based Approach. Comput. Linguistics 34(1): 1-34 (2008) - [j4]Jacob Eisenstein, Regina Barzilay, Randall Davis:
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction. J. Artif. Intell. Res. 31: 353-398 (2008) - [c36]Jacob Eisenstein, Regina Barzilay, Randall Davis:
Discourse Topic and Gestural Form. AAAI 2008: 836-841 - [c35]Benjamin Snyder, Regina Barzilay:
Cross-lingual Propagation for Morphological Analysis. AAAI 2008: 848-854 - [c34]S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay:
Learning Document-Level Semantic Properties from Free-Text Annotations. ACL 2008: 263-271 - [c33]Benjamin Snyder, Regina Barzilay:
Unsupervised Multilingual Learning for Morphological Segmentation. ACL 2008: 737-745 - [c32]Jacob Eisenstein, Regina Barzilay, Randall Davis:
Gestural Cohesion for Topic Segmentation. ACL 2008: 852-860 - [c31]Jacob Eisenstein, Regina Barzilay:
Bayesian Unsupervised Topic Segmentation. EMNLP 2008: 334-343 - [c30]Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay:
Unsupervised Multilingual Learning for POS Tagging. EMNLP 2008: 1041-1050 - 2007
- [c29]Jacob Eisenstein, Regina Barzilay, Randall Davis:
Turning Lectures into Comic Books Using Linguistically Salient Gestures. AAAI 2007: 877-882 - [c28]S. R. K. Branavan, Pawan Deshpande, Regina Barzilay:
Generating a Table-of-Contents. ACL 2007 - [c27]Igor Malioutov, Alex Park, Regina Barzilay, James R. Glass:
Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input. ACL 2007 - [c26]Erdong Chen, Benjamin Snyder, Regina Barzilay:
Incremental Text Structuring with Online Hierarchical Ranking. EMNLP-CoNLL 2007: 83-91 - [c25]Benjamin Snyder, Regina Barzilay:
Database-Text Alignment via Structured Multilabel Classification. IJCAI 2007: 1713-1718 - [c24]James R. Glass, Timothy J. Hazen, D. Scott Cyphers, Igor Malioutov, David Huynh, Regina Barzilay:
Recent progress in the MIT spoken lecture processing project. INTERSPEECH 2007: 2553-2556 - [c23]Benjamin Snyder, Regina Barzilay:
Multiple Aspect Ranking Using the Good Grief Algorithm. HLT-NAACL 2007: 300-307 - [c22]Pawan Deshpande, Regina Barzilay, David R. Karger:
Randomized Decoding for Selection-and-Ordering Problems. HLT-NAACL 2007: 444-451 - 2006
- [j3]Ronilda C. Lacson, Regina Barzilay, William J. Long:
Automatic analysis of medical dialogue in the home hemodialysis domain: Structure induction and summarization. J. Biomed. Informatics 39(5): 541-555 (2006) - [c21]Igor Malioutov, Regina Barzilay:
Minimum Cut Model for Spoken Lecture Segmentation. ACL 2006 - [c20]Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, Regina Barzilay:
Finding Temporal Order in Discharge Summaries. AMIA 2006 - [c19]Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, Regina Barzilay:
Inducing Temporal Graphs. EMNLP 2006: 189-198 - [c18]Regina Barzilay, Mirella Lapata:
Aggregation via Set Partitioning for Natural Language Generation. HLT-NAACL 2006 - [c17]David Kauchak, Regina Barzilay:
Paraphrasing for Automatic Evaluation. HLT-NAACL 2006 - 2005
- [j2]Regina Barzilay, Kathleen R. McKeown:
Sentence Fusion for Multidocument News Summarization. Comput. Linguistics 31(3): 297-328 (2005) - [c16]Regina Barzilay, Mirella Lapata:
Modeling Local Coherence: An Entity-Based Approach. ACL 2005: 141-148 - [c15]Ronilda Lacson, Regina Barzilay:
Automatic Processing of Spoken Dialogue in the Home Hemodialysis Domain. AMIA 2005 - [c14]Mirella Lapata, Regina Barzilay:
Automatic Evaluation of Text Coherence: Models and Representations. IJCAI 2005: 1085-1090 - [c13]Regina Barzilay, Mirella Lapata:
Collective Content Selection for Concept-to-Text Generation. HLT/EMNLP 2005: 331-338 - 2004
- [c12]Regina Barzilay, Lillian Lee
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization. HLT-NAACL 2004: 113-120 - [i3]Regina Barzilay, Lillian Lee:
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization. CoRR cs.CL/0405039 (2004) - 2003
- [c11]Regina Barzilay, Noemie Elhadad:
Sentence Alignment for Monolingual Comparable Corpora. EMNLP 2003 - [c10]Regina Barzilay, Lillian Lee
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment. HLT-NAACL 2003 - [c9]Kathleen R. McKeown, Regina Barzilay, John Chen, David K. Elson, David Kirk Evans, Judith Klavans, Ani Nenkova, Barry Schiffman, Sergey Sigelman:
Columbia's Newsblaster: New Features and Future Directions. HLT-NAACL 2003 - [i2]Regina Barzilay, Lillian Lee:
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment. CoRR cs.CL/0304006 (2003) - 2002
- [j1]Regina Barzilay, Noemie Elhadad, Kathleen R. McKeown:
Inferring Strategies for Sentence Ordering in Multidocument News Summarization. J. Artif. Intell. Res. 17: 35-55 (2002) - [c8]Regina Barzilay, Lillian Lee
Bootstrapping Lexical Choice via Multiple-Sequence Alignment. EMNLP 2002: 164-171 - [i1]Regina Barzilay, Lillian Lee:
Bootstrapping Lexical Choice via Multiple-Sequence Alignment. CoRR cs.CL/0205065 (2002) - 2001
- [c7]Regina Barzilay, Kathleen R. McKeown:
Extracting Paraphrases from a Parallel Corpus. ACL 2001: 50-57 - [c6]Regina Barzilay, Noémie Elhadad, Kathleen R. McKeown:
Sentence Ordering in Multidocument Summarization. HLT 2001 - 2000
- [c5]Regina Barzilay, Michael Collins, Julia Hirschberg, Steve Whittaker:
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts. AAAI/IAAI 2000: 679-684
1990 – 1999
- 1999
- [c4]Amanda M. Holland-Minkley, Regina Barzilay, Robert L. Constable:
Verbalization of High-Level Formal Proofs. AAAI/IAAI 1999: 277-284 - [c3]Kathleen R. McKeown, Judith Klavans, Vasileios Hatzivassiloglou, Regina Barzilay, Eleazar Eskin:
Towards Multidocument Summarization by Reformulation: Progress and Prospects. AAAI/IAAI 1999: 453-460 - [c2]Regina Barzilay, Kathleen R. McKeown, Michael Elhadad
Information Fusion in the Context of Multi-Document Summarization. ACL 1999: 550-557 - 1998
- [c1]Regina Barzilay, Daryl McCullough, Owen Rambow, Jonathan D. DeCristofaro, Tanya Korelsky, Benoit Lavoie:
A New Approach To Expert System Explanations. INLG 1998
Coauthor Index
[j30] [c144] [c143] [c142] [c141] [c140] [c138] [c137] [i104] [i103] [i102] [i101] [i100] [i98] [c134] [c133] [c132] [c131] [i96] [i95] [i94] [i92] [i91] [i90] [i89] [i88] [i87] [j26] [c130] [c129] [c128] [c126] [c125] [c124] [c123] [i85] [i84] [i83] [i80] [i79] [i78] [i77] [i76] [i75] [j24] [c120] [c119] [c118] [c116] [c112] [i73] [i68] [i66] [i65] [i63] [i62] [i61] [i60] [c109] [c106] [c105] [c104] [c103] [i59] [i58] [i57] [i56] [i55] [i53] [i52] [i50] [i49] [i46] [j20] [j19] [c99] [c98] [c94] [i44] [i41] [i40] [i38] [i32] [j18] [c91] [i30] [i25] [j16] [j14] [c89] [c88] [c87] [i24] [i22] [i21] [i19] [i18] [c86] [c84] [c81] [c80] [i16] [j12] [c76] [i13] [i11] [i10] [c72] [c70] [c68]
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