Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPeter Clark
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[i73]Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023)- [i72]Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. CoRR abs/2305.08844 (2023) - [i71]Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal:
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. CoRR abs/2305.14010 (2023) - [i70]Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark:
Language Models with Rationality. CoRR abs/2305.14250 (2023) - [i69]Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan:
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR abs/2305.14386 (2023) - [i68]Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal:
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy. CoRR abs/2305.14596 (2023) - 2022
- [c105]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) 2022: 3505-3523 - [c104]Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark:
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. EMNLP 2022: 414-426 - [c103]Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark:
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. EMNLP 2022: 2078-2093 - [c102]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP 2022: 2833-2861 - [c101]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP 2022: 5807-5832 - [c100]Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark:
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement. EMNLP 2022: 9465-9480 - [c99]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) 2022: 339-352 - [c98]Yuling Gu, Bhavana Dalvi, Peter Clark:
DREAM: Improving Situational QA by First Elaborating the Situation. NAACL-HLT 2022: 1115-1127 - [c97]Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS 2022 - [i67]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i66]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i65]Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark:
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. CoRR abs/2204.09148 (2022) - [i64]Bhavana Dalvi, Oyvind Tafjord, Peter Clark:
Towards Teachable Reasoning Systems. CoRR abs/2204.13074 (2022) - [i63]Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR abs/2209.09513 (2022) - [i62]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR abs/2209.14610 (2022) - [i61]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-Step Reasoning. CoRR abs/2210.00720 (2022) - [i60]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR abs/2210.02406 (2022) - [i59]Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark:
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. CoRR abs/2210.12217 (2022) - [i58]Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra, Peter Clark:
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. CoRR abs/2210.16407 (2022) - [i57]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR abs/2210.17517 (2022) - [i56]Yuling Gu, Bhavana Dalvi Mishra, Peter Clark:
Do language models have coherent mental models of everyday things? CoRR abs/2212.10029 (2022) - 2021
- [c96]Oyvind Tafjord, Bhavana Dalvi, Peter Clark:
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. ACL/IJCNLP (Findings) 2021: 3621-3634 - [c95]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) 2021: 2138-2149 - [c94]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [c93]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) 2021: 7318-7328 - [c92]Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark:
Explaining Answers with Entailment Trees. EMNLP (1) 2021: 7358-7370 - [c91]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. EMNLP (1) 2021: 8849-8861 - [c90]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT 2021: 1264-1279 - [i55]Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark:
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR abs/2102.03315 (2021) - [i54]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i53]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR abs/2104.08251 (2021) - [i52]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
Enriching a Model's Notion of Belief using a Persistent Memory. CoRR abs/2104.08401 (2021) - [i51]Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark:
Explaining Answers with Entailment Trees. CoRR abs/2104.08661 (2021) - [i50]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i49]Oyvind Tafjord, Peter Clark:
General-Purpose Question-Answering with Macaw. CoRR abs/2109.02593 (2021) - [i48]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. CoRR abs/2109.14723 (2021) - [i47]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i46]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR abs/2110.14207 (2021) - [i45]Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR abs/2112.07867 (2021) - [i44]Yuling Gu, Bhavana Dalvi Mishra, Peter Clark:
DREAM: Uncovering Mental Models behind Language Models. CoRR abs/2112.08656 (2021) - [i43]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. CoRR abs/2112.09737 (2021) - 2020
- [j15]Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41(4): 39-53 (2020) - [c89]Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal:
QASC: A Dataset for Question Answering via Sentence Composition. AAAI 2020: 8082-8090 - [c88]Harsh Jhamtani, Peter Clark:
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. EMNLP (1) 2020: 137-150 - [c87]Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) 2020: 1896-1907 - [c86]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. EMNLP (Findings) 2020: 3345-3355 - [c85]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) 2020: 6408-6417 - [c84]Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. IJCAI 2020: 3882-3890 - [c83]Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. LREC 2020: 5370-5382 - [c82]Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant:
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. NeurIPS 2020 - [i42]Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. CoRR abs/2002.05867 (2020) - [i41]Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark:
GenericsKB: A Knowledge Base of Generic Statements. CoRR abs/2005.00660 (2020) - [i40]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. CoRR abs/2005.00700 (2020) - [i39]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. CoRR abs/2005.01526 (2020) - [i38]Peter Clark, John A. Thompson, Bruce W. Porter:
Knowledge Patterns. CoRR abs/2005.04306 (2020) - [i37]Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant:
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. CoRR abs/2006.06609 (2020) - [i36]Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark:
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR abs/2006.07510 (2020) - [i35]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR abs/2009.00751 (2020) - [i34]Harsh Jhamtani, Peter Clark:
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. CoRR abs/2010.03274 (2020) - [i33]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR abs/2011.08092 (2020) - [i32]Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark:
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. CoRR abs/2012.13048 (2020)
2010 – 2019
- 2019
- [j14]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka
, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [c81]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. AAAI 2019: 3003-3010 - [c80]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI 2019: 7063-7071 - [c79]Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark:
Exploiting Explicit Paths for Multi-hop Reading Comprehension. ACL (1) 2019: 2737-2747 - [c78]Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. MRQA@EMNLP 2019: 58-62 - [c77]Tushar Khot, Ashish Sabharwal, Peter Clark:
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. EMNLP/IJCNLP (1) 2019: 2814-2828 - [c76]Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) 2019: 4495-4504 - [c75]Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark:
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. EMNLP/IJCNLP (1) 2019: 5940-5945 - [c74]Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut:
WIQA: A dataset for "What if..." reasoning over procedural text. EMNLP/IJCNLP (1) 2019: 6075-6084 - [c73]Peter Clark:
Project Aristo: Towards Machines that Capture and Reason with Science Knowledge. K-CAP 2019: 1-2 - [c72]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) 2019: 2347-2356 - [e3]Andreas Martin, Knut Hinkelmann, Aurona Gerber, Doug Lenat, Frank van Harmelen, Peter Clark:
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, Palo Alto, California, USA, March 25-27, 2019., Stanford University, Palo Alto, California, USA, March 25-27, 2019. CEUR Workshop Proceedings 2350, CEUR-WS.org 2019 [contents] - [i31]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming. CoRR abs/1905.00198 (2019) - [i30]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. CoRR abs/1906.08942 (2019) - [i29]Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. CoRR abs/1908.05441 (2019) - [i28]Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. CoRR abs/1908.05852 (2019) - [i27]Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR abs/1909.01958 (2019) - [i26]Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark:
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. CoRR abs/1909.03553 (2019) - [i25]Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark:
WIQA: A dataset for "What if..." reasoning over procedural text. CoRR abs/1909.04739 (2019) - [i24]Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR abs/1909.04745 (2019) - [i23]Tushar Khot, Ashish Sabharwal, Peter Clark:
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. CoRR abs/1909.09253 (2019) - [i22]Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal:
QASC: A Dataset for Question Answering via Sentence Composition. CoRR abs/1910.11473 (2019) - 2018
- [c71]Tushar Khot, Ashish Sabharwal, Peter Clark:
SciTaiL: A Textual Entailment Dataset from Science Question Answering. AAAI 2018: 5189-5197 - [c70]Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018: 57-66 - [c69]Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. EMNLP 2018: 2381-2391 - [c68]Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark:
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. EMNLP 2018: 4940-4945 - [c67]Arindam Mitra, Chitta Baral, Peter Clark:
Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. KR 2018: 657-658 - [c66]Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. NAACL-HLT 2018: 1595-1604 - [i21]Peter Clark:
Story Generation and Aviation Incident Representation. CoRR abs/1802.04818 (2018) - [i20]Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord:
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge. CoRR abs/1803.05457 (2018) - [i19]Peter Clark, Bhavana Dalvi, Niket Tandon:
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text. CoRR abs/1804.05435 (2018) - [i18]Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. CoRR abs/1805.06975 (2018) - [i17]Peter Clark:
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge? CoRR abs/1806.03561 (2018) - [i16]Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark:
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. CoRR abs/1808.09333 (2018) - [i15]Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR abs/1808.10012 (2018) - [i14]Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. CoRR abs/1809.02789 (2018) - [i13]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR abs/1811.08048 (2018) - 2017
- [j13]Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni:
Moving beyond the Turing Test with the Allen AI Science Challenge. Commun. ACM 60(9): 60-64 (2017) - [j12]Peter Jansen, Rebecca Sharp, Mihai Surdeanu, Peter Clark:
Framing QA as Building and Ranking Intersentence Answer Justifications. Comput. Linguistics 43(2): 407-449 (2017) - [j11]Bhavana Dalvi Mishra, Niket Tandon, Peter Clark:
Domain-Targeted, High Precision Knowledge Extraction. Trans. Assoc. Comput. Linguistics 5: 233-246 (2017) - [c65]Tushar Khot, Ashish Sabharwal, Peter Clark:
Answering Complex Questions Using Open Information Extraction. ACL (2) 2017: 311-316 - [c64]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond:
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. CoNLL 2017: 69-79 - [c63]Peter Clark:
Machine Reading as Model Construction. K-CAP Workshops 2017: 50-51 - [i12]Tushar Khot, Ashish Sabharwal, Peter Clark:
Answering Complex Questions Using Open Information Extraction. CoRR abs/1704.05572 (2017) - 2016
- [j10]Peter Clark, Oren Etzioni:
My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI. AI Mag. 37(1): 5-12 (2016) - [c62]Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi:
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. AAAI 2016: 2580-2586 - [c61]Bhavana Dalvi, Sumithra Bhakthavatsalam, Chris Clark, Peter Clark, Oren Etzioni, Anthony Fader, Dirk Groeneveld:
IKE - An Interactive Tool for Knowledge Extraction. AKBC@NAACL-HLT 2016: 12-17 - [c60]Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark:
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. COLING 2016: 2956-2965 - [c59]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond:
Creating Causal Embeddings for Question Answering with Minimal Supervision. EMNLP 2016: 138-148 - [c58]Samuel Louvan, Chetan Naik,