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ORCIDKyle Lo
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- affiliation: Allen Institute for Artificial Intelligence, Seattle, Washington, USA
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2020 – today
- 2023
[j9]Jörg Peters
, Kyle Lo, Kestutis Karciauskas:
Algorithm 1032: Bi-cubic Splines for Polyhedral Control Nets. ACM Trans. Math. Softw. 49(1): 7:1-7:12 (2023)- [c28]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 - [c27]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL 2023: 1642-1661 - [c26]Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld:
Scim: Intelligent Skimming Support for Scientific Papers. IUI 2023: 476-490 - [i41]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) - [i40]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR abs/2301.13298 (2023) - [i39]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) - [i38]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i37]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) - [i36]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) - [i35]Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang:
Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction. CoRR abs/2305.14660 (2023) - [i34]Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo:
A Controllable QA-based Framework for Decontextualization. CoRR abs/2305.14772 (2023) - [i33]Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR abs/2305.15053 (2023) - 2022
- [j8]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) - [j7]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) - [c25]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) 2022: 2448-2460 - [c24]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 - [c23]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c22]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 - [c21]David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi:
SciFact-Open: Towards open-domain scientific claim verification. EMNLP (Findings) 2022: 4719-4734 - [c20]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c19]David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
MultiVerS: Improving scientific claim verification with weak supervision and full-document context. NAACL-HLT (Findings) 2022: 61-76 - [c18]Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. NAACL-HLT 2022: 1875-1889 - [c17]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [c16]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 - [e1]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - [i32]Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo:
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. CoRR abs/2203.00130 (2022) - [i31]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR abs/2203.12990 (2022) - [i30]Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld:
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. CoRR abs/2205.04561 (2022) - [i29]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) - [i28]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i27]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) - [i26]David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi:
SciFact-Open: Towards open-domain scientific claim verification. CoRR abs/2210.13777 (2022) - [i25]John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan:
Exploring the Challenges of Open Domain Multi-Document Summarization. CoRR abs/2212.10526 (2022) - 2021
- [j6]Lucy Lu Wang, Kyle Lo:
Text mining approaches for dealing with the rapidly expanding literature on COVID-19. Briefings Bioinform. 22(2): 781-799 (2021) - [j5]Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo:
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8(16): 12826-12846 (2021) - [j4]Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh:
Searching for scientific evidence in a pandemic: An overview of TREC-COVID. J. Biomed. Informatics 121: 103865 (2021) - [c15]Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Explaining Relationships Between Scientific Documents. ACL/IJCNLP (1) 2021: 2130-2144 - [c14]Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CHI 2021: 413:1-413:18 - [c13]Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL 2021: 435-447 - [c12]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT 2021: 4599-4610 - [c11]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. NeurIPS 2021: 15787-15800 - [i24]Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh:
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID. CoRR abs/2104.09632 (2021) - [i23]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR abs/2105.03011 (2021) - [i22]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) - [i21]Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. CoRR abs/2107.00414 (2021) - [i20]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. CoRR abs/2107.07170 (2021) - [i19]David Wadden, Kyle Lo:
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification. CoRR abs/2107.08188 (2021) - [i18]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) - [i17]David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
LongChecker: Improving scientific claim verification by modeling full-abstract context. CoRR abs/2112.01640 (2021) - 2020
- [j3]Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Lu Wang, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu:
Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature. Frontiers Res. Metrics Anal. 5: 596624 (2020) - [j2]Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh:
TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19. J. Am. Medical Informatics Assoc. 27(9): 1431-1436 (2020) - [j1]Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang:
TREC-COVID: constructing a pandemic information retrieval test collection. SIGIR Forum 54(1): 1:1-1:12 (2020) - [c10]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
S2ORC: The Semantic Scholar Open Research Corpus. ACL 2020: 4969-4983 - [c9]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 - [c8]Lucy Lu Wang, Kyle Lo:
The COVID-19 Open Research Dataset - Abstract. SIIRH@ECIR 2020 - [c7]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. SDP@EMNLP 2020: 196-206 - [c6]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) 2020: 4766-4777 - [c5]David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi:
Fact or Fiction: Verifying Scientific Claims. EMNLP (1) 2020: 7534-7550 - [i16]Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. CoRR abs/2002.00317 (2020) - [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]Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier:
CORD-19: The Covid-19 Open Research Dataset. CoRR abs/2004.10706 (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]David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi:
Fact or Fiction: Verifying Scientific Claims. CoRR abs/2004.14974 (2020) - [i11]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. CoRR abs/2004.15011 (2020) - [i10]Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang:
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection. CoRR abs/2005.04474 (2020) - [i9]Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CoRR abs/2009.14237 (2020) - [i8]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. CoRR abs/2010.05129 (2020)
2010 – 2019
- 2019
- [c4]Iz Beltagy, Kyle Lo, Arman Cohan:
SciBERT: A Pretrained Language Model for Scientific Text. EMNLP/IJCNLP (1) 2019: 3613-3618 - [c3]Iz Beltagy, Kyle Lo, Waleed Ammar:
Combining Distant and Direct Supervision for Neural Relation Extraction. NAACL-HLT (1) 2019: 1858-1867 - [i7]Iz Beltagy, Arman Cohan, Kyle Lo:
SciBERT: Pretrained Contextualized Embeddings for Scientific Text. CoRR abs/1903.10676 (2019) - [i6]Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR abs/1907.01272 (2019) - [i5]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
GORC: A large contextual citation graph of academic papers. CoRR abs/1911.02782 (2019) - 2018
- [c2]Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar:
Ontology alignment in the biomedical domain using entity definitions and context. BioNLP 2018: 47-55 - [c1]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 - [i4]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) - [i3]Sergey Feldman, Kyle Lo, Waleed Ammar:
Citation Count Analysis for Papers with Preprints. CoRR abs/1805.05238 (2018) - [i2]Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar:
Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context. CoRR abs/1806.07976 (2018) - [i1]Iz Beltagy, Kyle Lo, Waleed Ammar:
Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision. CoRR abs/1810.12956 (2018)
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