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Doug Downey

Douglas Downey

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affiliation: Northwestern University, Evanston, IL, USA

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2024
[j10]
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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. Commun. ACM 67(10): 50-61 (2024)
[c79]
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Qingyun Wang, Doug Downey, Heng Ji, Tom Hope:
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) 2024: 279-299
[c78]
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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: 6985-7001
[c77]
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John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang:
TOPICAL: TOPIC Pages AutomagicaLly. NAACL (Demonstrations) 2024: 1-11
[c76]
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Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope:
CARE: Extracting Experimental Findings From Clinical Literature. NAACL-HLT (Findings) 2024: 4580-4596
[i49]
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  - journals/corr/abs-2401-04259
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Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey:
MARG: Multi-Agent Review Generation for Scientific Papers. CoRR abs/2401.04259 (2024)
[i48]
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  - journals/corr/abs-2405-01796
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John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang:
TOPICAL: TOPIC Pages AutomagicaLly. CoRR abs/2405.01796 (2024)
[i47]
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  - journals/corr/abs-2406-07835
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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 abs/2406.07835 (2024)
2023
[j9]
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  - journals/cacm/HopeDWEH23
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Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz:
A Computational Inflection for Scientific Discovery. Commun. ACM 66(8): 62-73 (2023)
[j8]
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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): 24:1-24:29 (2023)
[c75]
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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: 9614-9630
[c74]
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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: 13345-13360
[c73]
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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: 737:1-737:15
[c72]
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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: 742:1-742:20
[c71]
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  - conf/eacl/SaadFalconSSDCD23
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Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. EACL (Findings) 2023: 1888-1908
[c70]
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  - conf/eacl/AllawayHBMDC23
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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: 2610-2627
[c69]
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  - conf/emnlp/CattanHDBEKD23
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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: 403-412
[c68]
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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: 495-507
[c67]
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Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey:
S2abEL: A Dataset for Entity Linking from Scientific Tables. EMNLP 2023: 3089-3101
[c66]
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  - conf/emnlp/SinghDCDF23
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Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman:
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. EMNLP 2023: 5548-5566
[i46]
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  - journals/corr/abs-2301-10140
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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 abs/2301.10140 (2023)
[i45]
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  - journals/corr/abs-2302-06754
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Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang:
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. CoRR abs/2302.06754 (2023)
[i44]
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  - journals/corr/abs-2302-07302
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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 abs/2302.07302 (2023)
[i43]
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  - journals/corr/abs-2303-14334
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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 abs/2303.14334 (2023)
[i42]
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  - journals/corr/abs-2304-02623
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Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David A. Sontag:
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. CoRR abs/2304.02623 (2023)
[i41]
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  - journals/corr/abs-2305-00366
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Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey:
S2abEL: A Dataset for Entity Linking from Scientific Tables. CoRR abs/2305.00366 (2023)
[i40]
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  - journals/corr/abs-2305-14259
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Qingyun Wang, Doug Downey, Heng Ji, Tom Hope:
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. CoRR abs/2305.14259 (2023)
[i39]
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  - journals/corr/abs-2306-01058
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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 abs/2306.01058 (2023)
[i38]
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  - journals/corr/abs-2306-12587
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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 abs/2306.12587 (2023)
[i37]
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  - journals/corr/abs-2311-09736
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Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope:
CARE: Extracting Experimental Findings From Clinical Literature. CoRR abs/2311.09736 (2023)
[i36]
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  - journals/corr/abs-2311-11301
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Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR abs/2311.11301 (2023)
2022
[j7]
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  - journals/aim/CafarellaABCCDD22
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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): 59-68 (2022)
[j6]
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  - journals/tacl/MacAvaneyFGDC22
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Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10: 224-239 (2022)
[j5]
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  - journals/tacl/ShenLWKWD22
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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: 376-392 (2022)
[c65]
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  - conf/akbc/SafaviDH22
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Tara Safavi, Doug Downey, Tom Hope:
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. AKBC 2022
[c64]
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  - conf/chi/RadenskyDLPW22
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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: 290:1-290:7
[c63]
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  - conf/chi/KangKHYLKWDB22
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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: 302:1-302:23
[c62]
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  - conf/cidr/AndersonLZCCDGH22
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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
[c61]
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  - conf/emnlp/MurthyLKBKJBWHD22
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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: 200-213
[c60]
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  - conf/emnlp/BursztynDDB22
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Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum:
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. EMNLP (Findings) 2022: 1676-1686
[c59]
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  - conf/jcdl/RohatgiDKF22
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Shaurya Rohatgi, Doug Downey, Daniel King, Sergey Feldman:
S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications. JCDL 2022: 44
[c58]
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  - conf/naacl/MarasovicBDP22
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Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters:
Few-Shot Self-Rationalization with Natural Language Prompts. NAACL-HLT (Findings) 2022: 410-424
[c57]
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  - conf/nips/ShenLYDSD22
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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
[c56]
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  - conf/uist/KaurDSCWB22
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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: 97:1-97:15
[i35]
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  - journals/corr/abs-2203-08436
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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 abs/2203.08436 (2022)
[i34]
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  - journals/corr/abs-2204-10254
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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 abs/2204.10254 (2022)
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  - journals/corr/abs-2204-10838
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Shaurya Rohatgi, Douglas Downey, Daniel King, Sergey Feldman:
S2AMP: A High-Coverage Dataset of Scholarly Mentorship Inferred from Publications. CoRR abs/2204.10838 (2022)
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  - journals/corr/abs-2205-02007
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Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz:
A Computational Inflection for Scientific Discovery. CoRR abs/2205.02007 (2022)
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  - journals/corr/abs-2205-06982
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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 abs/2205.06982 (2022)
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Tara Safavi, Doug Downey, Tom Hope:
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. CoRR abs/2205.08012 (2022)
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  - journals/corr/abs-2205-11658
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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 abs/2205.11658 (2022)
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  - journals/corr/abs-2206-10883
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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 abs/2206.10883 (2022)
[i27]
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Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. CoRR abs/2207.04993 (2022)
[i26]
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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 abs/2208.07531 (2022)
[i25]
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  - journals/corr/abs-2210-12607
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Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum:
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. CoRR abs/2210.12607 (2022)
[i24]
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Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman:
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. CoRR abs/2211.13308 (2022)
[i23]
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  - journals/corr/abs-2212-09246
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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 abs/2212.09246 (2022)
2021
[c55]
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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
[c54]
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  - conf/conll/DemeterD21
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David Demeter, Doug Downey:
Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. CoNLL 2021: 210-222
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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
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Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman:
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. JCDL 2021: 170-179
[c51]
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Ettore M. G. Trainiti, Thanapon Noraset, David Demeter, Doug Downey, Simone Campanoni:
CODE: Compiler-based Neuron-aware Ensemble training. MLSys 2021
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Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. SIGIR 2021: 2429-2436
[i22]
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  - journals/corr/abs-2103-02280
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Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. CoRR abs/2103.02280 (2021)
[i21]
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  - journals/corr/abs-2103-07534
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Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman:
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. CoRR abs/2103.07534 (2021)
[i20]
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  - journals/corr/abs-2104-08809
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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]
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  - journals/corr/abs-2106-00676
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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]
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  - journals/corr/abs-2109-07576
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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]
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  - journals/corr/abs-2109-13301
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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]
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  - journals/corr/abs-2111-08284
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Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters:
Few-Shot Self-Rationalization with Natural Language Prompts. CoRR abs/2111.08284 (2021)
2020
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David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. AAAI 2020: 7634-7642
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David Demeter, Gregory Kimmel, Doug Downey:
Stolen Probability: A Structural Weakness of Neural Language Models. ACL 2020: 2191-2197
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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]
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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]
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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]
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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]
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Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR 2020: 1549-1552
[c42]
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  - conf/um/YuanD20
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Zheng Yuan, Doug Downey:
Practical Methods for Semi-automated Peer Grading in a Classroom Setting. UMAP 2020: 363-367
[i15]
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  - journals/corr/abs-2003-04315
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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]
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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]
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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]
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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]
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  - journals/corr/abs-2005-02433
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David Demeter, Gregory Kimmel, Doug Downey:
Stolen Probability: A Structural Weakness of Neural Language Models. CoRR abs/2005.02433 (2020)
[i10]
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  - journals/corr/abs-2006-06877
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Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR abs/2006.06877 (2020)
[i9]
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  - journals/corr/abs-2011-00696
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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

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What is the meaning of the colors in the publication lists?

2019
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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
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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
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Rajagopal Venkatesaramani, Doug Downey, Bradley A. Malin, Yevgeniy Vorobeychik:
A Semantic Cover Approach for Topic Modeling. *SEM@NAACL-HLT 2019: 92-102
[i8]
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  - journals/corr/abs-1901-09848
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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]
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  - journals/corr/abs-1904-04365
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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]
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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]
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  - journals/corr/abs-1909-09483
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Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey:
Multi-sense Definition Modeling using Word Sense Decompositions. CoRR abs/1909.09483 (2019)
[i4]
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  - journals/corr/abs-1912-05421
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David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. CoRR abs/1912.05421 (2019)
2018
[c38]
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  - conf/aaai/NorasetDD18
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Thanapon Noraset, David Demeter, Doug Downey:
Controlling Global Statistics in Recurrent Neural Network Text Generation. AAAI 2018: 5333-5341
[c37]
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Zheng Yuan, Doug Downey:
OTyper: A Neural Architecture for Open Named Entity Typing. AAAI 2018: 6037-6044
[c36]
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  - conf/acl/FernandezD18
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Jared Fernandez, Doug Downey:
Sampling Informative Training Data for RNN Language Models. ACL (3) 2018: 9-13
[c35]
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Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey:
Extracting Commonsense Properties from Embeddings with Limited Human Guidance. ACL (2) 2018: 644-649
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Thanapon Noraset, Doug Downey, Lidong Bing:
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP 2018: 2930-2935
[c33]
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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]
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  - journals/corr/abs-1805-02262
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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]
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Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
Definition Modeling: Learning to Define Word Embeddings in Natural Language. AAAI 2017: 3259-3266
[c31]
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  - conf/aaai/SubramaniD17
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Nishant Subramani, Doug Downey:
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. AAAI 2017: 4987-4988
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Jared Fernandez, Zhaocheng Yu, Doug Downey:
VecShare: A Framework for Sharing Word Representation Vectors. EMNLP 2017: 316-320
2016
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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]
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Yuji Mo, Stephen D. Scott, Doug Downey:
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. ICDM 2016: 340-349
[i2]
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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]
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Doug Downey, Chandra Bhagavatula, Yi Yang:
Efficient Methods for Inferring Large Sparse Topic Hierarchies. ACL (1) 2015: 774-784
[c27]
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Yi Yang, Doug Downey, Jordan L. Boyd-Graber:
Efficient Methods for Incorporating Knowledge into Topic Models. EMNLP 2015: 308-317
[c26]
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Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey:
TabEL: Entity Linking in Web Tables. ISWC (1) 2015: 425-441
2014
[j3]
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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]
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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]
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Thanapon Noraset, Chandra Bhagavatula, Doug Downey:
Adding High-Precision Links to Wikipedia. EMNLP 2014: 651-656
[c23]
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Thanapon Noraset, Chandra Bhagavatula, Doug Downey:
WebSAIL wikifier at ERD 2014. ERD@SIGIR 2014: 119-124
[c22]
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  - conf/sigir/AlamD14
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Mohammed A. Alam, Doug Downey:
Analyzing the content emphasis of web search engines. SIGIR 2014: 1083-1086
2013
[c21]
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Michael Lucas, Doug Downey:
Scaling Semi-supervised Naive Bayes with Feature Marginals. ACL (1) 2013: 343-351
[c20]
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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
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Doug Downey, Chandra Sekhar Bhagavatula, Alexander Yates:
Using natural language to integrate, evaluate, and optimize extracted knowledge bases. AKBC@CIKM 2013: 61-66
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Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey:
Methods for exploring and mining tables on Wikipedia. IDEA@KDD 2013: 18-26
[c17]
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Yi Yang, Alexander Yates, Doug Downey:
Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text. HLT-NAACL 2013: 579-584
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Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey:
WebSAIL Wikifier: English Entity Linking at TAC 2013. TAC 2013
2012
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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]
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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]
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Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson:
Local and Global Algorithms for Disambiguation to Wikipedia. ACL 2011: 1375-1384
[c13]
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Fei Huang, Alexander Yates, Arun Ahuja, Doug Downey:
Language Models as Representations for Weakly Supervised NLP Tasks. CoNLL 2011: 125-134
2010
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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]
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Arun Ahuja, Doug Downey:
Improved Extraction Assessment through Better Language Models. HLT-NAACL 2010: 225-228

2000 – 2009

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2008
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Doug Downey, Susan T. Dumais, Daniel J. Liebling, Eric Horvitz:
Understanding the relationship between searchers' queries and information goals. CIKM 2008: 449-458
[c10]
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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]
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Doug Downey, Oren Etzioni:
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification. NIPS 2008: 393-400
2007
[c8]
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Doug Downey, Stefan Schoenmackers, Oren Etzioni:
Sparse Information Extraction: Unsupervised Language Models to the Rescue. ACL 2007
[c7]
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Doug Downey, Matthew Broadhead, Oren Etzioni:
Locating Complex Named Entities in Web Text. IJCAI 2007: 2733-2739
[c6]
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Doug Downey, Susan T. Dumais, Eric Horvitz:
Models of Searching and Browsing: Languages, Studies, and Application. IJCAI 2007: 2740-2747
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Doug Downey, Susan T. Dumais, Eric Horvitz:
Heads and tails: studies of web search with common and rare queries. SIGIR 2007: 847-848
2005
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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]
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Doug Downey, Oren Etzioni, Stephen Soderland:
A Probabilistic Model of Redundancy in Information Extraction. IJCAI 2005: 1034-1041
[c3]
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Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni:
KnowItNow: Fast, Scalable Information Extraction from the Web. HLT/EMNLP 2005: 563-570
2004
[c2]
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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
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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

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