Chandra Bhagavatula

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 90

Top Topics

Commonsense Knowledge

Partially Ordered

Question Answer

Top Venues

EMNLP (Findings)

Publications

Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI (2024)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. ICLR (2024)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR (2024)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR (2024)
Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. CoRR (2023)
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS (2023)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR (2023)
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
Faith and Fate: Limits of Transformers on Compositionality. CoRR (2023)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR (2023)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. ACL (1) (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR (2023)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS (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)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR (2023)
Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. CoRR (2023)
Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. EMNLP (Findings) (2023)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. CoRR (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)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) (2023)
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. 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. EMNLP (Demos) (2022)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP (2022)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. CoRR (2022)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR (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)
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)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. 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)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) (2022)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT (2022)
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR (2021)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) (2021)
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. CoRR (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI (2021)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) (2021)
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
WinoGrande: an adversarial winograd schema challenge at scale. Commun. ACM 64 (9) (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR (2021)
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jon Borchardt, Jenny Liang, Oren Etzioni, Maarten Sap, Yejin Choi
Delphi: Towards Machine Ethics and Norms. CoRR (2021)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) (2021)
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. AAAI (2021)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR (2021)
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. AAAI (2021)
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. NeurIPS Datasets and Benchmarks (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modularization for Neural Generation. CoRR (2021)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR (2021)
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. NAACL-HLT (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR (2020)
Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC (2020)
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
WinoGrande: An Adversarial Winograd Schema Challenge at Scale. AAAI (2020)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR (2020)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI (2020)
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) (2020)
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs. CoRR (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. 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. EMNLP (Findings) (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. CoRR (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)
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
VisualCOMET: Reasoning About the Dynamic Context of a Still Image. ECCV (5) (2020)
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) (2020)
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) (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)
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. ICML (2020)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR (2020)
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. CoRR (2020)
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI (2019)
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. EMNLP/IJCNLP (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)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. CoRR (2019)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR (2019)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) (2019)
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale. CoRR (2019)
Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR (2019)
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. CoRR (2019)
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)
Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar
Content-Based Citation Recommendation. CoRR (2018)
Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR (2018)
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 (2018)
Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar
Content-Based Citation Recommendation. NAACL-HLT (2018)
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)
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)
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
Semi-supervised sequence tagging with bidirectional language models. ACL (1) (2017)
Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction. SemEval@ACL (2017)
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
Semi-supervised sequence tagging with bidirectional language models. CoRR (2017)
Doug Downey, Chandra Bhagavatula, Yi Yang
Efficient Methods for Inferring Large Sparse Topic Hierarchies. ACL (1) (2015)
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
WebSAIL wikifier at ERD 2014. ERD@SIGIR (2014)
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
Adding High-Precision Links to Wikipedia. EMNLP (2014)
Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey
WebSAIL Wikifier: English Entity Linking at TAC 2013. TAC (2013)