Regina Barzilay
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Israeli-American computer scientist
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Regina Barzilaycomputer-science Degrees
Computer Science
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#826
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Computational Linguistics
#32
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#32
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Algorithms
#69
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#69
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Machine Learning
#110
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#111
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Computer Science
Regina Barzilay's Degrees
- PhD Computer Science Columbia University
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Why Is Regina Barzilay Influential?
(Suggest an Edit or Addition)According to Wikipedia, Regina Barzilay is an Israeli-American computer scientist. She is a professor at the Massachusetts Institute of Technology and a faculty lead for artificial intelligence at the MIT Jameel Clinic. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology.
Regina Barzilay's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Papers
- Using Lexical Chains for Text Summarization (1997) (1181)
- Junction Tree Variational Autoencoder for Molecular Graph Generation (2018) (872)
- A Deep Learning Approach to Antibiotic Discovery (2020) (832)
- Modeling Local Coherence: An Entity-Based Approach (2008) (735)
- Rationalizing Neural Predictions (2016) (640)
- Style Transfer from Non-Parallel Text by Cross-Alignment (2017) (639)
- Analyzing Learned Molecular Representations for Property Prediction (2019) (615)
- Extracting Paraphrases from a Parallel Corpus (2001) (553)
- Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment (2003) (536)
- Information Fusion in the Context of Multi-Document Summarization (1999) (478)
- Sentence Fusion for Multidocument News Summarization (2005) (441)
- Prediction of Organic Reaction Outcomes Using Machine Learning (2017) (427)
- Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization (2004) (412)
- Inferring Strategies for Sentence Ordering in Multidocument News Summarization (2002) (370)
- Multiple Aspect Ranking Using the Good Grief Algorithm (2007) (344)
- A graph-convolutional neural network model for the prediction of chemical reactivity† †Electronic supplementary information (ESI) available: Additional model and dataset details, results, discussion, and ref. 38 and 39. See DOI: 10.1039/c8sc04228d (2018) (323)
- A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction. (2019) (318)
- Tracking and summarizing news on a daily basis with Columbia's Newsblaster (2002) (316)
- Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction. (2017) (289)
- Learning to Automatically Solve Algebra Word Problems (2014) (287)
- Reinforcement Learning for Mapping Instructions to Actions (2009) (287)
- Language Understanding for Text-based Games using Deep Reinforcement Learning (2015) (282)
- Bayesian Unsupervised Topic Segmentation (2008) (254)
- Paraphrasing for Automatic Evaluation (2006) (252)
- Towards Multidocument Summarization by Reformulation: Progress and Prospects (1999) (251)
- Summarization Evaluation Methods: Experiments and Analysis (1998) (243)
- Minimum Cut Model for Spoken Lecture Segmentation (2006) (241)
- SIMFINDER: A Flexible Clustering Tool for Summarization (2001) (225)
- Sentence Alignment for Monolingual Comparable Corpora (2003) (222)
- Generative Models for Graph-Based Protein Design (2019) (213)
- Event Discovery in Social Media Feeds (2011) (213)
- Automatic Evaluation of Text Coherence: Models and Representations (2005) (210)
- Collective Content Selection for Concept-to-Text Generation (2005) (196)
- Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (2017) (186)
- Recent progress in the MIT spoken lecture processing project (2007) (185)
- Automatically Generating Wikipedia Articles: A Structure-Aware Approach (2009) (182)
- Learning to Win by Reading Manuals in a Monte-Carlo Framework (2011) (171)
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (2018) (166)
- Unsupervised Multilingual Learning for Morphological Segmentation (2008) (166)
- Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing (2019) (164)
- Selective Sharing for Multilingual Dependency Parsing (2012) (163)
- Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation. (2019) (160)
- Columbia multi-document summarization : Approach and evaluation (2001) (157)
- Using Universal Linguistic Knowledge to Guide Grammar Induction (2010) (148)
- Hierarchical Generation of Molecular Graphs using Structural Motifs (2020) (142)
- Molding CNNs for text: non-linear, non-consecutive convolutions (2015) (141)
- Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning (2016) (136)
- Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (2017) (132)
- Multi-Source Domain Adaptation with Mixture of Experts (2018) (130)
- Towards Debiasing Fact Verification Models (2019) (127)
- Learning Document-Level Semantic Properties from Free-Text Annotations (2008) (127)
- Deriving Neural Architectures from Sequence and Graph Kernels (2017) (119)
- Information fusion for multidocument summarization: paraphrasing and generation (2003) (117)
- Low-Rank Tensors for Scoring Dependency Structures (2014) (115)
- Reading between the Lines: Learning to Map High-Level Instructions to Commands (2010) (115)
- The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts (2000) (114)
- Few-shot Text Classification with Distributional Signatures (2019) (111)
- Using Semantic Unification to Generate Regular Expressions from Natural Language (2013) (109)
- High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision. (2017) (109)
- Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings (2016) (107)
- Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05) (2005) (103)
- Inducing Temporal Graphs (2006) (102)
- Uncertainty Quantification Using Neural Networks for Molecular Property Prediction (2020) (102)
- Multi-Objective Molecule Generation using Interpretable Substructures (2020) (102)
- sk_p: a neural program corrector for MOOCs (2016) (101)
- Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis (2020) (96)
- Bootstrapping Lexical Choice via Multiple-Sequence Alignment (2002) (94)
- A Deep Learning Model to Triage Screening Mammograms: A Simulation Study. (2019) (94)
- Aggregation via Set Partitioning for Natural Language Generation (2006) (93)
- Applications of Deep Learning in Molecule Generation and Molecular Property Prediction. (2020) (91)
- Using machine learning to parse breast pathology reports (2016) (90)
- Aspect-augmented Adversarial Networks for Domain Adaptation (2017) (89)
- Sentence Ordering in Multidocument Summarization (2001) (86)
- Semi-supervised Question Retrieval with Gated Convolutions (2015) (84)
- Inferring Which Medical Treatments Work from Reports of Clinical Trials (2019) (82)
- Unsupervised Multilingual Grammar Induction (2009) (81)
- GraphIE: A Graph-Based Framework for Information Extraction (2018) (77)
- Deriving Machine Attention from Human Rationales (2018) (77)
- Content Models with Attitude (2011) (75)
- A Deep Learning Approach to Antibiotic Discovery (2020) (74)
- Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (2016) (72)
- Global Models of Document Structure using Latent Permutations (2009) (71)
- Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches (2009) (70)
- Grounding Language for Transfer in Deep Reinforcement Learning (2017) (69)
- EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction (2022) (69)
- Unsupervised Multilingual Learning for POS Tagging (2008) (68)
- Learning High-Level Planning from Text (2012) (67)
- An Unsupervised Method for Uncovering Morphological Chains (2015) (67)
- Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence (2021) (66)
- Machine Comprehension with Discourse Relations (2015) (63)
- Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing (2015) (62)
- Representation Learning for Grounded Spatial Reasoning (2017) (57)
- Finding Temporal Order in Discharge Summaries (2006) (56)
- Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (2021) (56)
- Torsional Diffusion for Molecular Conformer Generation (2022) (56)
- Greed is Good if Randomized: New Inference for Dependency Parsing (2014) (55)
- Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input (2007) (55)
- The three pillars of machine programming (2018) (55)
- Content Modeling Using Latent Permutations (2009) (54)
- The Limitations of Stylometry for Detecting Machine-Generated Fake News (2019) (54)
- Toward robust mammography-based models for breast cancer risk (2021) (53)
- A Statistical Model for Lost Language Decipherment (2010) (53)
- Deep learning identifies synergistic drug combinations for treating COVID-19 (2021) (52)
- Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images (2021) (51)
- Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records. (2018) (50)
- Automatic Aggregation by Joint Modeling of Aspects and Values (2014) (49)
- Blank Language Models (2020) (49)
- Verbalization of High-Level Formal Proofs (1999) (49)
- Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design (2021) (49)
- Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem (2022) (48)
- Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach (2009) (48)
- Crystal Diffusion Variational Autoencoder for Periodic Material Generation (2021) (48)
- Modeling Syntactic Context Improves Morphological Segmentation (2011) (45)
- From Natural Language Specifications to Program Input Parsers (2013) (45)
- GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles (2021) (45)
- Capturing Greater Context for Question Generation (2019) (44)
- Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing (2015) (44)
- Columbia’s Newsblaster: New Features and Future Directions (2003) (44)
- DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking (2022) (43)
- A New Approach to Expert System Explanations (1998) (42)
- Path-Augmented Graph Transformer Network (2019) (41)
- Modeling Local Coherence: An Entity-Based Approach (2005) (40)
- Database-Text Alignment via Structured Multilabel Classification (2007) (40)
- Multi-Event Extraction Guided by Global Constraints (2012) (39)
- Educating Text Autoencoders: Latent Representation Guidance via Denoising (2019) (38)
- Simple Type-Level Unsupervised POS Tagging (2010) (38)
- Learning Graph Models for Retrosynthesis Prediction (2020) (38)
- Incorporating Content Structure into Text Analysis Applications (2010) (38)
- Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models (2022) (36)
- Morphological Segmentation for Keyword Spotting (2014) (35)
- High-Order Low-Rank Tensors for Semantic Role Labeling (2015) (34)
- Non-Linear Monte-Carlo Search in Civilization II (2011) (34)
- Cross-lingual Propagation for Morphological Analysis (2008) (34)
- Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment (2014) (32)
- Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees (2014) (31)
- In-domain Relation Discovery with Meta-constraints via Posterior Regularization (2011) (30)
- Lexical Chains for Summarization (1997) (30)
- Learning to Make Generalizable and Diverse Predictions for Retrosynthesis (2019) (30)
- Learning Graph Models for Template-Free Retrosynthesis (2020) (30)
- Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes (2019) (29)
- Efficient Conformal Prediction via Cascaded Inference with Expanded Admission (2021) (27)
- Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade. (2020) (27)
- Automatic Fact-guided Sentence Modification (2019) (27)
- Generative models for molecular discovery: Recent advances and challenges (2022) (27)
- Are Learned Molecular Representations Ready For Prime Time? (2019) (26)
- Unsupervised Morphology Rivals Supervised Morphology for Arabic MT (2012) (25)
- Few-shot Conformal Prediction with Auxiliary Tasks (2021) (25)
- Generating a Table-of-Contents (2007) (24)
- Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions (2018) (24)
- Learning to Map into a Universal POS Tagset (2012) (23)
- Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance. (2019) (23)
- Hierarchical Graph-to-Graph Translation for Molecules (2019) (22)
- Deep Transfer in Reinforcement Learning by Language Grounding (2017) (22)
- Using Semantic Cues to Learn Syntax (2011) (21)
- Consistent Accelerated Inference via Confident Adaptive Transformers (2021) (21)
- Domain Extrapolation via Regret Minimization (2020) (21)
- Can machine learning improve patient selection for cardiac resynchronization therapy? (2019) (20)
- Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model (2021) (20)
- Machine learning to parse breast pathology reports in Chinese (2018) (20)
- Composing Molecules with Multiple Property Constraints (2020) (20)
- Optimizing risk-based breast cancer screening policies with reinforcement learning (2021) (20)
- Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning† (2020) (19)
- The Columbia Multi-Document Summarizer for DUC 2002 (2002) (19)
- Automated Chemical Reaction Extraction from Scientific Literature (2021) (18)
- Optimal Transport Graph Neural Networks (2020) (18)
- Randomized Decoding for Selection-and-Ordering Problems (2007) (18)
- Climbing the Tower of Babel: Unsupervised Multilingual Learning (2010) (18)
- External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice. (2020) (18)
- Incremental Text Structuring with Online Hierarchical Ranking (2007) (17)
- Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone. (2019) (17)
- Critical assessment of AI in drug discovery (2021) (17)
- Tagging (2021) (16)
- Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules (2019) (16)
- Turning Lectures into Comic Books Using Linguistically Salient Gestures (2007) (16)
- Improving Molecular Design by Stochastic Iterative Target Augmentation (2020) (15)
- Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction (2008) (14)
- Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models (2015) (13)
- Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers (2021) (13)
- Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B (2019) (13)
- Columbia at the Document Understanding Conference 2003 (2003) (12)
- Discourse Topic and Gestural Form (2008) (12)
- Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection (2019) (12)
- Gestural Cohesion for Topic Segmentation (2008) (11)
- Correction to Analyzing Learned Molecular Representations for Property Prediction (2019) (10)
- A Flexible Clustering Tool for Summarization (2001) (10)
- Automatic Processing of Spoken Dialogue in the Home Hemodialysis Domain (2005) (10)
- Unsupervised Learning of Morphological Forests (2017) (10)
- Learning to refine text based recommendations (2016) (10)
- Enforcing Predictive Invariance across Structured Biomedical Domains (2020) (9)
- CapWAP: Captioning with a Purpose (2020) (9)
- NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training (2021) (9)
- Gesture in automatic discourse processing (2008) (8)
- Incidental breast carcinoma: incidence, management, and outcomes in 4804 bilateral reduction mammoplasties (2019) (8)
- CapWAP: Image Captioning with a Purpose (2020) (8)
- Learning to Split for Automatic Bias Detection (2022) (8)
- WikiDo (2009) (7)
- Antibody-Antigen Docking and Design via Hierarchical Structure Refinement (2022) (7)
- Probabilistic Approaches for Modeling Text Structure and their Application to Text-to-Text Generation (Invited Talk) (2009) (6)
- Edinburgh Research Explorer Modeling Local Coherence: An Entity-Based Approach (2005) (6)
- IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence (2005) (6)
- Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk? (2019) (6)
- Adaptive Invariance for Molecule Property Prediction (2020) (6)
- Early perceptual loss in depression (2007) (6)
- Nutri-bullets: Summarizing Health Studies by Composing Segments (2021) (5)
- The Limitations of Stylometry for Detecting Machine-Generated Fake News (2020) (5)
- Conformal Prediction Sets with Limited False Positives (2022) (5)
- Good grief, i can speak it! preliminary experiments in audio restaurant reviews (2010) (5)
- Correction to Automated Chemical Reaction Extraction from Scientific Literature (2021) (5)
- Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis (2020) (5)
- Learning Stable Classifiers by Transferring Unstable Features (2021) (5)
- Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography (2023) (5)
- Reading between the lines (2010) (5)
- Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (2006) (4)
- INDER : A Flexible Clustering Tool for Summarization (4)
- Do Neural Information Extraction Algorithms Generalize Across Institutions? (2019) (4)
- Deciphering Undersegmented Ancient Scripts Using Phonetic Prior (2020) (4)
- Fragment-based Sequential Translation for Molecular Optimization (2021) (4)
- ml-RECIST: Machine learning to estimate RECIST in patients with NSCLC treated with PD-(L)1 blockade. (2019) (4)
- Investigating Resuscitation Code Assignment in the Intensive Care Unit using Structured and Unstructured Data. (2010) (4)
- Nutri-bullets Hybrid: Consensual Multi-document Summarization (2021) (4)
- Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports. (2020) (4)
- Erratum: “Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment” (2015) (3)
- Modeling Drug Combinations based on Molecular Structures and Biological Targets (2020) (3)
- Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement (2022) (3)
- Ordering Circumstantials for Multi-Document Summarization (2001) (3)
- Nutribullets Hybrid: Multi-document Health Summarization (2021) (3)
- Natural Language Processing: An Opportunity to Make Chart Data Come Alive in Palliative Care Research (FR481A) (2017) (3)
- Generating Molecules with Optimized Aqueous Solubility using Iterative Graph Translation (2021) (3)
- Syfer: Neural Obfuscation for Private Data Release (2022) (3)
- Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers (2019) (3)
- Latent Space Secrets of Denoising Text-Autoencoders (2019) (3)
- COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers (2021) (3)
- Calibrated Selective Classification (2022) (2)
- Transfer Learning for Constituency-Based Grammars (2013) (2)
- Pathologic findings in reduction mammoplasty procedures identified by natural language processing of breast pathology reports: A surrogate for the population incidence of cancer and high risk lesions. (2018) (2)
- The Three Pillars of Machine-Based Programming (2018) (2)
- SE(3) diffusion model with application to protein backbone generation (2023) (2)
- Robust Molecular Image Recognition: A Graph Generation Approach (2022) (2)
- Generating Related Work (2021) (2)
- Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models (2020) (2)
- Playing Games with Language in a Monte-Carlo framework (2011) (1)
- Abstract SP080: Hidden clues in the mammogram: How AI can improve early breast cancer detection (2021) (1)
- Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels (2020) (1)
- Reading Between the Lines : Learning to Map High-level Instructions to (2010) (1)
- Ranking Techniques for Keyphrase Extraction (2015) (1)
- Making Dependency Labeling Simple, Fast and Accurate (2016) (1)
- Using Deep Reinforcement Learning to Generate Rationales for Molecules (2018) (1)
- LATION FOR MOLECULAR OPTIMIZATION (2019) (1)
- Proceedings of the Second Workshop on Semantic Interpretation in an Actionable Context (2012) (1)
- Grammar Induction (2009) (1)
- Efficiently Controlling Multiple Risks with Pareto Testing (2022) (1)
- Fragment-based Sequential Translation for Molecular Optimization FRAGMENT-BASED SEQUENTIAL TRANSLATION FOR MOLECULAR OPTIMIZATION (2021) (1)
- Abstract P5-16-16: Role of tumor microenvironment, as assessed by breast MRI background parenchymal enhancement (BPE), in modulating response to neoadjuvant chemotherapy in young women with localized breast cancer (2017) (0)
- High Compression Rate Text Summarization by Satchuthananthavale Rasiah Kuhan Branavan (2008) (0)
- Selective Sharing for Multilingual Dependency Parsing Citation (2012) (0)
- Content Modeling Using Latent Permutations Citation (2009) (0)
- An Unsupervised Method for Uncovering Morphological Chains (Open Access, Publisher's Version) (2015) (0)
- Encoder Graph Module Decoder Input : Text Output : Tags ... Encoder (2019) (0)
- Predicting Synergistic Drug Combinations for COVID with Biological Bottleneck Models (2020) (0)
- Columbia Multi-Do ument Summarization : Approa h and (2001) (0)
- Using semantic cues to learn syntax Citation (2011) (0)
- Reply to M. Eriksson et al and Z. Jin et al. (2022) (0)
- Discourse Topic and Gestural Form Citation (2008) (0)
- InfoShape: Task-Based Neural Data Shaping via Mutual Information (2022) (0)
- Reviewers, Volume 34 (1991) (0)
- DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models (2023) (0)
- Event discovery in social media feeds Citation (2011) (0)
- UvA-DARE (Digital Academic Repository) Learning Topic-Sensitive Word Representations (2017) (0)
- Second Author Affiliation / Address line 1 Affiliation / Address line 2 (0)
- A Structure-Aware Approach (2009) (0)
- Root → Auxiliary Noun → Adjective Root → Verb Noun → Article Verb → Noun Noun → Noun Verb → Pronoun Noun → Numeral Verb → Adverb Preposition → Noun Verb → Verb Adjective → Adverb Auxiliary → (2010) (0)
- A Statistical Model for Lost Language (2010) (0)
- Denoising Improves Latent Space Geometry in Text Autoencoders (2019) (0)
- Integrating Categorization, Clustering, and Summarization for Daily News Browsing (2003) (0)
- A Statistical Model for Lost Language Decipherment Citation (2010) (0)
- Abstract ES2-1: Everything you always wanted to know about AI but were afraid to ask (2022) (0)
- Data Augmentation for Low-Resource Neural Machine Translation (2017) (0)
- Morphological Segmentation for Keyword Spotting Citation (2014) (0)
- Using natural language processing to assess palliative care processes in cancer patients receiving venting gastrostomy tube. (2017) (0)
- Incidental atypical hyperplasia/LCIS in mammoplasty specimens and subsequent risk of breast cancer. (2019) (0)
- Automated System for Knowledge-Based Continuous Organic Synthesis: Data-Driven Pathway Design and Validation (Invited Lecture) (2018) (0)
- Impact of Ordering on the Overall Quality of a Summary (2005) (0)
- 6.881 Natural Language Processing, Fall 2004 (2004) (0)
- Proceedings of the Conference on Empirical Methods in Natural Language Processing (2011) (0)
- UvA-DARE (Digital Academic Repository) Data Augmentation for Low-Resource Neural Machine Translation (2017) (0)
- PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels (2023) (0)
- AI and Linguistics (2006) (0)
- Harvesting Application Information for Industry-Scale Relational Schema Matching (2013) (0)
- Iterative Target Augmentation for Effective Conditional Generation (2019) (0)
- Food Adulteration Detection Using Neural Networks by Youyang Gu (2016) (0)
- Blind protein-ligand docking with diffusion-based deep generative models. (2023) (0)
- MIT CSAIL and Lincoln Laboratory Task Force Report (2016) (0)
- Abstract IA-24: Towards robust image based models for cancer risk assessment (2021) (0)
- MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation (2022) (0)
- 3 Extractive Rationale Generation (2016) (0)
- T ORSIONAL D IFFUSION FOR M OLECULAR C ONFORMER G ENERATION (2022) (0)
- Learning to Behave by Reading (2012) (0)
- Improving Search Quality of the Google Search Appliance (2009) (0)
- Adaptive Invariant Risk Minimization for Molecule Property Prediction (2020) (0)
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