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2020 – today
- 2022
[c97]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- [i59]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i58]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) - [i57]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) - [i56]Bhavana Dalvi, Oyvind Tafjord, Peter Clark:
Towards Teachable Reasoning Systems. CoRR abs/2204.13074 (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, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark:
Cross Sentence Inference for Process Knowledge. EMNLP 2016: 1442-1451 - [c57]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. IJCAI 2016: 1145-1152 - [i11]Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni:
Moving Beyond the Turing Test with the Allen AI Science Challenge. CoRR abs/1604.04315 (2016) - [i10]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. CoRR abs/1604.06076 (2016) - [i9]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond:
Creating Causal Embeddings for Question Answering with Minimal Supervision. CoRR abs/1609.08097 (2016) - 2015
- [j9]Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark:
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. Trans. Assoc. Comput. Linguistics 3: 197-210 (2015) - [c56]Peter Clark:
Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! AAAI 2015: 4019-4021 - [c55]Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni:
Exploring Markov Logic Networks for Question Answering. EMNLP 2015: 685-694 - [c54]Yang Li, Peter Clark:
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge. EMNLP 2015: 2007-2012 - [c53]Rebecca Sharp, Peter Jansen, Mihai Surdeanu, Peter Clark:
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. HLT-NAACL 2015: 231-237 - [c52]Ben Hixon, Peter Clark, Hannaneh Hajishirzi:
Learning Knowledge Graphs for Question Answering through Conversational Dialog. HLT-NAACL 2015: 851-861 - [i8]Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni:
Markov Logic Networks for Natural Language Question Answering. CoRR abs/1507.03045 (2015) - 2014
- [c51]Peter Jansen, Mihai Surdeanu, Peter Clark:
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking. ACL (1) 2014: 977-986 - [c50]Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning:
Modeling Biological Processes for Reading Comprehension. EMNLP 2014 - 2013
- [j8]Vinay K. Chaudhri, Britte Cheng, Adam Overholtzer, Jeremy Roschelle, Aaron Spaulding, Peter Clark, Mark Greaves, Dave Gunning:
Inquire Biology: A Textbook that Answers Questions. AI Mag. 34(3): 55-72 (2013) - [c49]Xuchen Yao, Benjamin Van Durme, Peter Clark:
Automatic Coupling of Answer Extraction and Information Retrieval. ACL (2) 2013: 159-165 - [c48]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
A Lightweight and High Performance Monolingual Word Aligner. ACL (2) 2013: 702-707 - [c47]Peter Clark:
From Textual Entailment to Knowledgeable Machines. JSSP 2013: 4 - [c46]Xiao Ling, Peter Clark, Daniel S. Weld:
Extracting meronyms for a biology knowledge base using distant supervision. AKBC@CIKM 2013: 7-12 - [c45]Peter Clark, Philip Harrison, Niranjan Balasubramanian:
A study of the knowledge base requirements for passing an elementary science test. AKBC@CIKM 2013: 37-42 - [c44]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Semi-Markov Phrase-Based Monolingual Alignment. EMNLP 2013: 590-600 - [c43]Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding, Christopher D. Manning:
Learning Biological Processes with Global Constraints. EMNLP 2013: 1710-1720 - [c42]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Answer Extraction as Sequence Tagging with Tree Edit Distance. HLT-NAACL 2013: 858-867 - [c41]Myroslava O. Dzikovska, Rodney D. Nielsen, Chris Brew, Claudia Leacock, Danilo Giampiccolo, Luisa Bentivogli, Peter Clark, Ido Dagan, Hoa Trang Dang:
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge. SemEval@NAACL-HLT 2013: 263-274 - [i7]Peter Clark, Alex Jokela:
Terra Populus-Integrated Data for Population and Environmental Research. IASSIST Conference 2013 - 2012
- [c40]Peter Clark:
Recognizing Textual Entailment, QA4MRE, and Machine Reading. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c39]