Regina Barzilay

Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA


According to our database1, Regina Barzilay authored at least 210 papers between 1998 and 2024.

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Bibliography

2024
Improved motif-scaffolding with SE(3) flow matching.
Trans. Mach. Learn. Res., 2024

OpenChemIE: An Information Extraction Toolkit for Chemistry Literature.
J. Chem. Inf. Model., 2024

Predicting sub-population specific viral evolution.
CoRR, 2024

Predicting perturbation targets with causal differential networks.
CoRR, 2024

Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
CoRR, 2024

Sample, estimate, aggregate: A recipe for causal discovery foundation models.
CoRR, 2024

Dirichlet Flow Matching with Applications to DNA Sequence Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Conformal Language Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving protein optimization with smoothed fitness landscapes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing.
J. Chem. Inf. Model., July, 2023

MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation.
J. Chem. Inf. Model., April, 2023

Risk-Controlling Model Selection via Guided Bayesian Optimization.
CoRR, 2023

Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.
CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.
CoRR, 2023

DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models.
CoRR, 2023

PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels.
CoRR, 2023

SE(3) diffusion model with application to protein backbone generation.
Proceedings of the International Conference on Machine Learning, 2023

Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Controlling Multiple Risks with Pareto Testing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

InfoShape: Task-Based Neural Data Shaping via Mutual Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

Predictive Chemistry Augmented with Text Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Calibrated Selective Classification.
Trans. Mach. Learn. Res., 2022

Automated Chemical Reaction Extraction from Scientific Literature.
J. Chem. Inf. Model., 2022

Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement.
CoRR, 2022

Robust Molecular Image Recognition: A Graph Generation Approach.
CoRR, 2022

Learning to Split for Automatic Bias Detection.
CoRR, 2022

Syfer: Neural Obfuscation for Private Data Release.
CoRR, 2022

Torsional Diffusion for Molecular Conformer Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.
Proceedings of the International Conference on Machine Learning, 2022

Antibody-Antigen Docking and Design via Hierarchical Structure Refinement.
Proceedings of the International Conference on Machine Learning, 2022

Conformal Prediction Sets with Limited False Positives.
Proceedings of the International Conference on Machine Learning, 2022

Learning Stable Classifiers by Transferring Unstable Features.
Proceedings of the International Conference on Machine Learning, 2022

Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior.
Trans. Assoc. Comput. Linguistics, 2021

Deep learning identifies synergistic drug combinations for treating COVID-19.
Proc. Natl. Acad. Sci. USA, 2021

Correction to Automated Chemical Reaction Extraction from Scientific Literature.
J. Chem. Inf. Model., 2021

Fragment-based Sequential Translation for Molecular Optimization.
CoRR, 2021

NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training.
CoRR, 2021

Generating Related Work.
CoRR, 2021

Nutribullets Hybrid: Multi-document Health Summarization.
CoRR, 2021

Learning Graph Models for Retrosynthesis Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nutri-bullets Hybrid: Consensual Multi-document Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Few-Shot Conformal Prediction with Auxiliary Tasks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers.
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission.
Proceedings of the 9th International Conference on Learning Representations, 2021

Consistent Accelerated Inference via Confident Adaptive Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Nutri-bullets: Summarizing Health Studies by Composing Segments.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.
J. Chem. Inf. Model., 2020

Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models.
CoRR, 2020

CapWAP: Captioning with a Purpose.
CoRR, 2020

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels.
CoRR, 2020

Improved Conditional Flow Models for Molecule to Image Synthesis.
CoRR, 2020

Learning Graph Models for Template-Free Retrosynthesis.
CoRR, 2020

Optimal Transport Graph Neural Networks.
CoRR, 2020

Domain Extrapolation via Regret Minimization.
CoRR, 2020

Adaptive Invariance for Molecule Property Prediction.
CoRR, 2020

Composing Molecules with Multiple Property Constraints.
CoRR, 2020

The Limitations of Stylometry for Detecting Machine-Generated Fake News.
Comput. Linguistics, 2020

Improving Molecular Design by Stochastic Iterative Target Augmentation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Educating Text Autoencoders: Latent Representation Guidance via Denoising.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-Objective Molecule Generation using Interpretable Substructures.
Proceedings of the 37th International Conference on Machine Learning, 2020

Hierarchical Generation of Molecular Graphs using Structural Motifs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Few-shot Text Classification with Distributional Signatures.
Proceedings of the 8th International Conference on Learning Representations, 2020

Blank Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CapWAP: Image Captioning with a Purpose.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Capturing Greater Context for Question Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Automatic Fact-Guided Sentence Modification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Correction to Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model., 2019

Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model., 2019

Learning to Make Generalizable and Diverse Predictions for Retrosynthesis.
CoRR, 2019

Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection.
CoRR, 2019

Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules.
CoRR, 2019

Latent Space Secrets of Denoising Text-Autoencoders.
CoRR, 2019

Path-Augmented Graph Transformer Network.
CoRR, 2019

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.
CoRR, 2019

Are Learned Molecular Representations Ready For Prime Time?
CoRR, 2019

Generative Models for Graph-Based Protein Design.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

GraphIE: A Graph-Based Framework for Information Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Inferring Which Medical Treatments Work from Reports of Clinical Trials.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Multimodal Graph-to-Graph Translation for Molecule Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Debiasing Fact Verification Models.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Representation Learning for Grounded Spatial Reasoning.
Trans. Assoc. Comput. Linguistics, 2018

Grounding Language for Transfer in Deep Reinforcement Learning.
J. Artif. Intell. Res., 2018

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization.
CoRR, 2018

The Three Pillars of Machine-Based Programming.
CoRR, 2018

The three pillars of machine programming.
Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

Junction Tree Variational Autoencoder for Molecular Graph Generation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-Source Domain Adaptation with Mixture of Experts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deriving Machine Attention from Human Rationales.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction.
J. Chem. Inf. Model., August, 2017

Aspect-augmented Adversarial Networks for Domain Adaptation.
Trans. Assoc. Comput. Linguistics, 2017

Unsupervised Learning of Morphological Forests.
Trans. Assoc. Comput. Linguistics, 2017

Deep Transfer in Reinforcement Learning by Language Grounding.
CoRR, 2017

Style Transfer from Non-Parallel Text by Cross-Alignment.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deriving Neural Architectures from Sequence and Graph Kernels.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
sk_p: a neural program corrector for MOOCs.
Proceedings of the Companion Proceedings of the 2016 ACM SIGPLAN International Conference on Systems, 2016

Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings.
Proceedings of the NAACL HLT 2016, 2016

Making Dependency Labeling Simple, Fast and Accurate.
Proceedings of the NAACL HLT 2016, 2016

Semi-supervised Question Retrieval with Gated Convolutions.
Proceedings of the NAACL HLT 2016, 2016

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Rationalizing Neural Predictions.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning to refine text based recommendations.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
An Unsupervised Method for Uncovering Morphological Chains.
Trans. Assoc. Comput. Linguistics, 2015

Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment".
Trans. Assoc. Comput. Linguistics, 2015

Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models.
CoRR, 2015

Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

High-Order Low-Rank Tensors for Semantic Role Labeling.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Language Understanding for Text-based Games using Deep Reinforcement Learning.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Molding CNNs for text: non-linear, non-consecutive convolutions.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Machine Comprehension with Discourse Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment.
Trans. Assoc. Comput. Linguistics, 2014

Greed is Good if Randomized: New Inference for Dependency Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Morphological Segmentation for Keyword Spotting.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Low-Rank Tensors for Scoring Dependency Structures.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning to Automatically Solve Algebra Word Problems.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Automatic Aggregation by Joint Modeling of Aspects and Values.
J. Artif. Intell. Res., 2013

Using Semantic Unification to Generate Regular Expressions from Natural Language.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Transfer Learning for Constituency-Based Grammars.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

From Natural Language Specifications to Program Input Parsers.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Learning to Win by Reading Manuals in a Monte-Carlo Framework.
J. Artif. Intell. Res., 2012

Multi-Event Extraction Guided by Global Constraints.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Learning to Map into a Universal POS Tagset.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Learning to Behave by Reading.
Proceedings of the EACL 2012, 2012

Unsupervised Morphology Rivals Supervised Morphology for Arabic MT.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Selective Sharing for Multilingual Dependency Parsing.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Learning High-Level Planning from Text.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Inferring Strategies for Sentence Ordering in Multidocument News Summarization
CoRR, 2011

Non-Linear Monte-Carlo Search in Civilization II.
Proceedings of the IJCAI 2011, 2011

Modeling Syntactic Context Improves Morphological Segmentation.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

Content Models with Attitude.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

In-domain Relation Discovery with Meta-constraints via Posterior Regularization.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Event Discovery in Social Media Feeds.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Using Semantic Cues to Learn Syntax.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Good grief, i can speak it! preliminary experiments in audio restaurant reviews.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Climbing the Tower of Babel: Unsupervised Multilingual Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Incorporating Content Structure into Text Analysis Applications.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Using Universal Linguistic Knowledge to Guide Grammar Induction.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Simple Type-Level Unsupervised POS Tagging.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation.
Proceedings of the Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation, 2010

A Statistical Model for Lost Language Decipherment.
Proceedings of the ACL 2010, 2010

Reading between the Lines: Learning to Map High-Level Instructions to Commands.
Proceedings of the ACL 2010, 2010

2009
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
J. Artif. Intell. Res., 2009

Content Modeling Using Latent Permutations.
J. Artif. Intell. Res., 2009

Learning Document-Level Semantic Properties from Free-Text Annotations.
J. Artif. Intell. Res., 2009

Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Global Models of Document Structure using Latent Permutations.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

WikiDo.
Proceedings of the Eight ACM Workshop on Hot Topics in Networks (HotNets-VIII), 2009

Probabilistic Approaches for Modeling Text Structure and their Application to Text-to-Text Generation (Invited Talk).
Proceedings of the ENLG 2009, 2009

Unsupervised Multilingual Grammar Induction.
Proceedings of the ACL 2009, 2009

Automatically Generating Wikipedia Articles: A Structure-Aware Approach.
Proceedings of the ACL 2009, 2009

Reinforcement Learning for Mapping Instructions to Actions.
Proceedings of the ACL 2009, 2009

2008
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction.
J. Artif. Intell. Res., 2008

Modeling Local Coherence: An Entity-Based Approach.
Comput. Linguistics, 2008

Unsupervised Multilingual Learning for POS Tagging.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Bayesian Unsupervised Topic Segmentation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Unsupervised Multilingual Learning for Morphological Segmentation.
Proceedings of the ACL 2008, 2008

Gestural Cohesion for Topic Segmentation.
Proceedings of the ACL 2008, 2008

Cross-lingual Propagation for Morphological Analysis.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Discourse Topic and Gestural Form.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Multiple Aspect Ranking Using the Good Grief Algorithm.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Randomized Decoding for Selection-and-Ordering Problems.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Recent progress in the MIT spoken lecture processing project.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Database-Text Alignment via Structured Multilabel Classification.
Proceedings of the IJCAI 2007, 2007

Incremental Text Structuring with Online Hierarchical Ranking.
Proceedings of the EMNLP-CoNLL 2007, 2007

Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input.
Proceedings of the ACL 2007, 2007

Generating a Table-of-Contents.
Proceedings of the ACL 2007, 2007

Turning Lectures into Comic Books Using Linguistically Salient Gestures.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Automatic analysis of medical dialogue in the home hemodialysis domain: Structure induction and summarization.
J. Biomed. Informatics, 2006

Paraphrasing for Automatic Evaluation.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Aggregation via Set Partitioning for Natural Language Generation.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Inducing Temporal Graphs.
Proceedings of the EMNLP 2006, 2006

Finding Temporal Order in Discharge Summaries.
Proceedings of the AMIA 2006, 2006

Minimum Cut Model for Spoken Lecture Segmentation.
Proceedings of the ACL 2006, 2006

2005
Sentence Fusion for Multidocument News Summarization.
Comput. Linguistics, 2005

Collective Content Selection for Concept-to-Text Generation.
Proceedings of the HLT/EMNLP 2005, 2005

Automatic Evaluation of Text Coherence: Models and Representations.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Automatic Processing of Spoken Dialogue in the Home Hemodialysis Domain.
Proceedings of the AMIA 2005, 2005

2004
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

2003
Columbia's Newsblaster: New Features and Future Directions.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Sentence Alignment for Monolingual Comparable Corpora.
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003

2002
Inferring Strategies for Sentence Ordering in Multidocument News Summarization.
J. Artif. Intell. Res., 2002

Bootstrapping Lexical Choice via Multiple-Sequence Alignment.
Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002

2001
Sentence Ordering in Multidocument Summarization.
Proceedings of the First International Conference on Human Language Technology Research, 2001

Extracting Paraphrases from a Parallel Corpus.
Proceedings of the Association for Computational Linguistic, 2001

2000
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Information Fusion in the Context of Multi-Document Summarization.
Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, 1999

Towards Multidocument Summarization by Reformulation: Progress and Prospects.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

Verbalization of High-Level Formal Proofs.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
A New Approach To Expert System Explanations.
Proceedings of the Ninth International Workshop on Natural Language Generation, 1998


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