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ORCIDDoug Downey
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- affiliation: Northwestern University, Evanston, IL, USA
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2020 – today
- 2021
[c52]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: 1913-1918- [c51]Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman:
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. JCDL 2021: 170-179 - [c50]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. SIGIR 2021: 2429-2436 - [i22]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. CoRR abs/2103.02280 (2021) - [i21]Shivashankar Subramanian, Daniel King
, Doug Downey, Sergey Feldman:
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. CoRR abs/2103.07534 (2021) - [i20]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i19]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR abs/2106.00676 (2021) - [i18]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 abs/2109.07576 (2021) - [i17]Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR abs/2109.13301 (2021) - [i16]Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters:
Few-Shot Self-Rationalization with Natural Language Prompts. CoRR abs/2111.08284 (2021) - 2020
- [c49]David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. AAAI 2020: 7634-7642 - [c48]David Demeter, Gregory Kimmel, Doug Downey:
Stolen Probability: A Structural Weakness of Neural Language Models. ACL 2020: 2191-2197 - [c47]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL 2020: 2270-2282 - [c46]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: 8342-8360 - [c45]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: 1008-1025 - [c44]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 - [c43]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR 2020: 1549-1552 - [c42]Zheng Yuan, Doug Downey:
Practical Methods for Semi-automated Peer Grading in a Classroom Setting. UMAP 2020: 363-367 - [i15]Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld:
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR abs/2003.04315 (2020) - [i14]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR abs/2004.07180 (2020) - [i13]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 abs/2004.10964 (2020) - [i12]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 abs/2004.11546 (2020) - [i11]David Demeter, Gregory Kimmel, Doug Downey:
Stolen Probability: A Structural Weakness of Neural Language Models. CoRR abs/2005.02433 (2020) - [i10]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR abs/2006.06877 (2020) - [i9]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR abs/2011.00696 (2020)
2010 – 2019
- 2019
- [c41]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: 816-826 - [c40]Yiben Yang, Ji-Ping Wang, Doug Downey:
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models. NAACL-HLT (1) 2019: 3268-3273 - [c39]Rajagopal Venkatesaramani, Doug Downey, Bradley A. Malin, Yevgeniy Vorobeychik:
A Semantic Cover Approach for Topic Modeling. *SEM@NAACL-HLT 2019: 92-102 - [i8]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 abs/1901.09848 (2019) - [i7]Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey:
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. CoRR abs/1904.04365 (2019) - [i6]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 abs/1908.05739 (2019) - [i5]Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey:
Multi-sense Definition Modeling using Word Sense Decompositions. CoRR abs/1909.09483 (2019) - [i4]David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. CoRR abs/1912.05421 (2019) - 2018
- [c38]Thanapon Noraset, David Demeter, Doug Downey:
Controlling Global Statistics in Recurrent Neural Network Text Generation. AAAI 2018: 5333-5341 - [c37]Zheng Yuan, Doug Downey:
OTyper: A Neural Architecture for Open Named Entity Typing. AAAI 2018: 6037-6044 - [c36]Jared Fernandez, Doug Downey:
Sampling Informative Training Data for RNN Language Models. ACL (3) 2018: 9-13 - [c35]Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey:
Extracting Commonsense Properties from Embeddings with Limited Human Guidance. ACL (2) 2018: 644-649 - [c34]Thanapon Noraset, Doug Downey, Lidong Bing:
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP 2018: 2930-2935 - [c33]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: 84-91 - [i3]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 abs/1805.02262 (2018) - 2017
- [c32]Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
Definition Modeling: Learning to Define Word Embeddings in Natural Language. AAAI 2017: 3259-3266 - [c31]Nishant Subramani, Doug Downey:
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. AAAI 2017: 4987-4988 - [c30]Jared Fernandez, Zhaocheng Yu, Doug Downey:
VecShare: A Framework for Sharing Word Representation Vectors. EMNLP 2017: 316-320 - 2016
- [j4]Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary:
Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates. IEEE/ACM Trans. Netw. 24(6): 3856-3869 (2016) - [c29]Yuji Mo, Stephen D. Scott, Doug Downey:
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. ICDM 2016: 340-349 - [i2]Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
Definition Modeling: Learning to define word embeddings in natural language. CoRR abs/1612.00394 (2016) - 2015
- [c28]Doug Downey, Chandra Bhagavatula, Yi Yang:
Efficient Methods for Inferring Large Sparse Topic Hierarchies. ACL (1) 2015: 774-784 - [c27]Yi Yang, Doug Downey, Jordan L. Boyd-Graber:
Efficient Methods for Incorporating Knowledge into Topic Models. EMNLP 2015: 308-317 - [c26]Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey:
TabEL: Entity Linking in Web Tables. ISWC (1) 2015: 425-441 - 2014
- [j3]Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates:
Learning Representations for Weakly Supervised Natural Language Processing Tasks. Comput. Linguistics 40(1): 85-120 (2014) - [c25]Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary:
Spam ain't as diverse as it seems: throttling OSN spam with templates underneath. ACSAC 2014: 76-85 - [c24]Thanapon Noraset, Chandra Bhagavatula, Doug Downey:
Adding High-Precision Links to Wikipedia. EMNLP 2014: 651-656 - [c23]Thanapon Noraset, Chandra Bhagavatula, Doug Downey:
WebSAIL wikifier at ERD 2014. ERD@SIGIR 2014: 119-124 - [c22]Mohammed A. Alam, Doug Downey:
Analyzing the content emphasis of web search engines. SIGIR 2014: 1083-1086 - 2013
- [c21]Michael Lucas, Doug Downey:
Scaling Semi-supervised Naive Bayes with Feature Marginals. ACL (1) 2013: 343-351 - [c20]Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM 2013: 223-230 - [c19]Doug Downey, Chandra Sekhar Bhagavatula, Alexander Yates:
Using natural language to integrate, evaluate, and optimize extracted knowledge bases. AKBC@CIKM 2013: 61-66 - [c18]Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey:
Methods for exploring and mining tables on Wikipedia. IDEA@KDD 2013: 18-26 - [c17]Yi Yang, Alexander Yates, Doug Downey:
Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text. HLT-NAACL 2013: 579-584 - [i1]Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey:
WebSAIL Wikifier: English Entity Linking at TAC 2013. TAC 2013 - 2012
- [c16]Brent J. Hecht, Samuel Carton, Mahmood Quaderi, Johannes Schöning, Martin Raubal, Darren Gergle, Doug Downey:
Explanatory semantic relatedness and explicit spatialization for exploratory search. SIGIR 2012: 415-424 - [c15]Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Sentiment identification by incorporating syntax, semantics and context information. SIGIR 2012: 1143-1144 - 2011
- [c14]Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson:
Local and Global Algorithms for Disambiguation to Wikipedia. ACL 2011: 1375-1384 - [c13]Fei Huang, Alexander Yates, Arun Ahuja, Doug Downey:
Language Models as Representations for Weakly Supervised NLP Tasks. CoNLL 2011: 125-134 - 2010
- [j2]Doug Downey, Oren Etzioni, Stephen Soderland:
Analysis of a probabilistic model of redundancy in unsupervised information extraction. Artif. Intell. 174(11): 726-748 (2010) - [c12]Arun Ahuja, Doug Downey:
Improved Extraction Assessment through Better Language Models. HLT-NAACL 2010: 225-228
2000 – 2009
- 2008
- [c11]Doug Downey, Susan T. Dumais, Daniel J. Liebling, Eric Horvitz:
Understanding the relationship between searchers' queries and information goals. CIKM 2008: 449-458 - [c10]Alan Ritter, Stephen Soderland, Doug Downey, Oren Etzioni:
It's a Contradiction - no, it's not: A Case Study using Functional Relations. EMNLP 2008: 11-20 - [c9]Doug Downey, Oren Etzioni:
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification. NIPS 2008: 393-400 - 2007
- [c8]Doug Downey, Stefan Schoenmackers, Oren Etzioni:
Sparse Information Extraction: Unsupervised Language Models to the Rescue. ACL 2007 - [c7]Doug Downey, Matthew Broadhead, Oren Etzioni:
Locating Complex Named Entities in Web Text. IJCAI 2007: 2733-2739 - [c6]Doug Downey, Susan T. Dumais, Eric Horvitz:
Models of Searching and Browsing: Languages, Studies, and Application. IJCAI 2007: 2740-2747 - [c5]Doug Downey, Susan T. Dumais, Eric Horvitz:
Heads and tails: studies of web search with common and rare queries. SIGIR 2007: 847-848 - 2005
- [j1]Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates:
Unsupervised named-entity extraction from the Web: An experimental study. Artif. Intell. 165(1): 91-134 (2005) - [c4]Doug Downey, Oren Etzioni, Stephen Soderland:
A Probabilistic Model of Redundancy in Information Extraction. IJCAI 2005: 1034-1041 - [c3]Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni:
KnowItNow: Fast, Scalable Information Extraction from the Web. HLT/EMNLP 2005: 563-570 - 2004
- [c2]Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates:
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison. AAAI 2004: 391-398 - [c1]Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates:
Web-scale information extraction in knowitall: (preliminary results). WWW 2004: 100-110
Coauthor Index
aka: Chandra Sekhar Bhagavatula
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