Doug Downey

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 105

Top Venues

Publications

John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang
TOPICAL: TOPIC Pages AutomagicaLly. CoRR (2024)
David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR (2024)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. ACL (1) (2024)
Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey
MARG: Multi-Agent Review Generation for Scientific Papers. CoRR (2024)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) (2024)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. CoRR (2023)
Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey
S2abEL: A Dataset for Entity Linking from Scientific Tables. EMNLP (2023)
Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld
The Semantic Scholar Open Data Platform. CoRR (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) (2023)
Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David Sontag
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. CoRR (2023)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) (2023)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. CoRR (2023)
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. CHI (2023)
Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey
S2abEL: A Dataset for Entity Linking from Scientific Tables. CoRR (2023)
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR (2023)
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
Embedding Recycling for Language Models. EACL (Findings) (2023)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) (2023)
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld
LIMEADE: From AI Explanations to Advice Taking. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) (2023)
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. CoRR (2023)
Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope
CARE: Extracting Experimental Findings From Clinical Literature. CoRR (2023)
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz
A Computational Inflection for Scientific Discovery. Commun. ACM 66 (8) (2023)
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. EMNLP (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CHI (2023)
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. EACL (2023)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR (2023)
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10 (2022)
Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43 (1) (2022)
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CoRR (2022)
Tara Safavi, Doug Downey, Tom Hope
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. AKBC (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. EMNLP (Demos) (2022)
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities. CoRR (2022)
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CHI (2022)
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities. NeurIPS (2022)
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
Exploring the Role of Local and Global Explanations in Recommender Systems. CHI Extended Abstracts (2022)
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
Few-Shot Self-Rationalization with Natural Language Prompts. NAACL-HLT (Findings) (2022)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. Trans. Assoc. Comput. Linguistics 10 (2022)
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
Embedding Recycling for Language Models. CoRR (2022)
Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. CIDR (2022)
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. CoRR (2022)
Tara Safavi, Doug Downey, Tom Hope
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. CoRR (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR (2022)
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. CoRR (2022)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR (2022)
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. CoRR (2022)
Shaurya Rohatgi, Doug Downey, Daniel King, Sergey Feldman
S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications. JCDL (2022)
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. EMNLP (Findings) (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. CoRR (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. UIST (2022)
Daniel King, Zejiang Shen, Nishant Subramani, Daniel S. Weld, Iz Beltagy, Doug Downey
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. CoRR (2022)
Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz
A Computational Inflection for Scientific Discovery. CoRR (2022)
Ettore M. G. Trainiti, Thanapon Noraset, David Demeter, Doug Downey, Simone Campanoni
CODE: Compiler-based Neuron-aware Ensemble training. MLSys (2021)
David Demeter, Doug Downey
Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. CoNLL (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. SIGIR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. CoRR (2021)
Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. EMNLP (1) (2021)
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC (2021)
Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. CoRR (2021)
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR (2021)
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR (2021)
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
Few-Shot Self-Rationalization with Natural Language Prompts. CoRR (2021)
Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. CoRR (2021)
Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. JCDL (2021)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR (2021)
David Demeter, Gregory Kimmel, Doug Downey
Stolen Probability: A Structural Weakness of Neural Language Models. ACL (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAug: Generative Data Augmentation for Commonsense Reasoning. EMNLP (Findings) (2020)
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
Abductive Commonsense Reasoning. ICLR (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR (2020)
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR (2020)
Zheng Yuan, Doug Downey
Practical Methods for Semi-automated Peer Grading in a Classroom Setting. UMAP (2020)
David Demeter, Gregory Kimmel, Doug Downey
Stolen Probability: A Structural Weakness of Neural Language Models. CoRR (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. CoRR (2020)
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL (2020)
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL (2020)
Daniel King, Doug Downey, Daniel S. Weld
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR (2020)
Daniel King, Doug Downey, Daniel S. Weld
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR (2020)
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR (2020)
David Demeter, Doug Downey
Just Add Functions: A Neural-Symbolic Language Model. AAAI (2020)
Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral
A new evaluation framework for topic modeling algorithms based on synthetic corpora. AISTATS (2019)
Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. CoRR (2019)
David Demeter, Doug Downey
Just Add Functions: A Neural-Symbolic Language Model. CoRR (2019)
Yiben Yang, Ji-Ping Wang, Doug Downey
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models. NAACL-HLT (1) (2019)
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
Abductive Commonsense Reasoning. CoRR (2019)
Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral
A new evaluation framework for topic modeling algorithms based on synthetic corpora. CoRR (2019)
Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey
Multi-sense Definition Modeling using Word Sense Decompositions. CoRR (2019)
Rajagopal Venkatesaramani, Doug Downey, Bradley A. Malin, Yevgeniy Vorobeychik
A Semantic Cover Approach for Topic Modeling. *SEM@NAACL-HLT (2019)
Zheng Yuan, Doug Downey
OTyper: A Neural Architecture for Open Named Entity Typing. AAAI (2018)
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni
Construction of the Literature Graph in Semantic Scholar. NAACL-HLT (3) (2018)
Jared Fernandez, Doug Downey
Sampling Informative Training Data for RNN Language Models. ACL (3) (2018)
Thanapon Noraset, David Demeter, Doug Downey
Controlling Global Statistics in Recurrent Neural Network Text Generation. AAAI (2018)
Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey
Extracting Commonsense Properties from Embeddings with Limited Human Guidance. ACL (2) (2018)
Thanapon Noraset, Doug Downey, Lidong Bing
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP (2018)
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni
Construction of the Literature Graph in Semantic Scholar. CoRR (2018)
Nishant Subramani, Doug Downey
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. AAAI (2017)
Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey
Definition Modeling: Learning to Define Word Embeddings in Natural Language. AAAI (2017)
Jared Fernandez, Zhaocheng Yu, Doug Downey
VecShare: A Framework for Sharing Word Representation Vectors. EMNLP (2017)
Yuji Mo, Stephen D. Scott, Doug Downey
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. ICDM (2016)

Doug Downey.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Doug Downey