Peter Clark

261 papers A* 51B 14C 1Misc 3Journal 111Unranked 75
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generating Literature-Driven Scientific Theories at Scale.
CoRR
Peter Jansen, Peter Clark, Doug Downey, Daniel S. Weld
2025 J jnl
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite.
CoRR
Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter A. Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefan Candra, Jason Dunkelberger, Dan Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Cecile Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S. Weld
2025 — conf
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
ACL (Findings)
Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 J jnl
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
CoRR
Peter A. Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 A* conf
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.
ICLR
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
2025 A* conf
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering.
ICLR
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter A. Jansen, Benjamin Van Durme, Peter Clark
2025 J jnl
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation.
CoRR
Rosni Vasu, Peter A. Jansen, Pao Siangliulue, Cristina Sarasua, Abraham Bernstein, Peter Clark, Bhavana Dalvi Mishra
2025 A* conf
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance.
EMNLP
Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, Cristina Sarasua, Peter Clark, Abraham Bernstein
2025 J jnl
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance.
CoRR
Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, Cristina Sarasua, Peter Clark, Abraham Bernstein
2025 J jnl
Language Modeling by Language Models.
CoRR
Junyan Cheng, Peter Clark, Kyle Richardson
2025 — conf
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision.
NAACL (Long Papers)
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder
2025 J jnl
Latent Factor Models Meets Instructions:Goal-conditioned Latent Factor Discovery without Task Supervision.
CoRR
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder
2025 J jnl
Open-ended Scientific Discovery via Bayesian Surprise.
CoRR
Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson, Megha Chakravorty, Satvika Reddy Gavireddy, Aditya Parashar, Harshit Surana, Bhavana Dalvi Mishra, Andrew McCallum, Ashish Sabharwal, Peter Clark
2025 A* conf
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.
ICML
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
2025 J jnl
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.
CoRR
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
2024 — conf
ADaPT: As-Needed Decomposition and Planning with Language Models.
NAACL-HLT (Findings)
Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot
2024 A* conf
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.
ICLR
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
2024 — conf
Can Language Models Serve as Text-Based World Simulators?
ACL (Short Papers)
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
2024 J jnl
Can Language Models Serve as Text-Based World Simulators?
CoRR
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
2024 J jnl
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
CoRR
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
2024 J jnl
Data-driven Discovery with Large Generative Models.
CoRR
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
2024 — conf
Digital Socrates: Evaluating LLMs through Explanation Critiques.
ACL (1)
Yuling Gu, Oyvind Tafjord, Peter Clark
2024 J jnl
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.
CoRR
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
2024 A* conf
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
NeurIPS
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
2024 A* conf
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
EMNLP
Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme
2024 J jnl
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
CoRR
Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme
2024 J jnl
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question Answering.
CoRR
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Benjamin Van Durme, Peter Clark
2024 A* conf
Learning to Reason via Program Generation, Emulation, and Search.
NeurIPS
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
2024 J jnl
Learning to Reason via Program Generation, Emulation, and Search.
CoRR
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
2024 — conf
Leveraging Code to Improve In-Context Learning for Semantic Parsing.
NAACL-HLT
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2024 A* conf
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning.
IJCAI
Nathaniel Weir, Peter Clark, Benjamin Van Durme
2024 — conf
PDDLEGO: Iterative Planning in Textual Environments.
*SEM@NAACL
Li Zhang, Peter A. Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon
2024 J jnl
PDDLEGO: Iterative Planning in Textual Environments.
CoRR
Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon
2024 J jnl
PROC2PDDL: Open-Domain Planning Representations from Texts.
CoRR
Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon
2024 A* conf
Position: Data-driven Discovery with Large Generative Models.
ICML
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
2024 — conf
QualEval: Qualitative Evaluation for Model Improvement.
NAACL-HLT
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2024 A* conf
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.
EMNLP
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot
2024 J jnl
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.
CoRR
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle D. Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot
2024 J jnl
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs.
CoRR
Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi
2024 A* conf
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
ICML
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 J jnl
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
CoRR
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 — conf
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.
ACL (Findings)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2024 — conf
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks.
ACL (1)
Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe
2024 J jnl
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks.
CoRR
Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe
2023 J jnl
ADaPT: As-Needed Decomposition and Planning with Language Models.
CoRR
Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot
2023 J jnl
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.
CoRR
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
2023 J jnl
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability.
CoRR
Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord
2023 J jnl
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.
CoRR
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
2023 J jnl
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR
Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark
2023 A* conf
Complexity-Based Prompting for Multi-step Reasoning.
ICLR
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
2023 A* conf
Decomposed Prompting: A Modular Approach for Solving Complex Tasks.
ICLR
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
2023 J jnl
Digital Socrates: Evaluating LLMs through explanation critiques.
CoRR
Yuling Gu, Oyvind Tafjord, Peter Clark
2023 — conf
Do language models have coherent mental models of everyday things?
ACL (1)
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
2023 A* conf
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
ICLR
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
2023 A* conf
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
EMNLP
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
2023 J jnl
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
CoRR
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
2023 A* conf
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.
EMNLP
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
2023 A* conf
Language Models with Rationality.
EMNLP
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
2023 J jnl
Language Models with Rationality.
CoRR
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
2023 A* conf
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
EMNLP
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 J jnl
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
CoRR
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 J jnl
Leveraging Code to Improve In-context Learning for Semantic Parsing.
CoRR
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2023 J jnl
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2023 J jnl
QualEval: Qualitative Evaluation for Model Improvement.
CoRR
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2023 — conf
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
ACL (1)
Afra Feyza Akyürek, Ekin Akyürek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon
2023 J jnl
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
CoRR
Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon
2023 A* conf
Self-Refine: Iterative Refinement with Self-Feedback.
NeurIPS
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
2023 J jnl
Self-Refine: Iterative Refinement with Self-Feedback.
CoRR
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
2022 J jnl
Complexity-Based Prompting for Multi-Step Reasoning.
CoRR
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
2022 — conf
DREAM: Improving Situational QA by First Elaborating the Situation.
NAACL-HLT
Yuling Gu, Bhavana Dalvi, Peter Clark
2022 J jnl
Decomposed Prompting: A Modular Approach for Solving Complex Tasks.
CoRR
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
2022 J jnl
Do language models have coherent mental models of everyday things?
CoRR
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
2022 J jnl
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
CoRR
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
2022 A* conf
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
EMNLP
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2022 J jnl
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
CoRR
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2022 J jnl
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE.
CoRR
Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra, Peter Clark
2022 A* conf
LILA: A Unified Benchmark for Mathematical Reasoning.
EMNLP
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022 A* conf
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
NeurIPS
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 J jnl
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
CoRR
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 — conf
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback.
NAACL-HLT (Findings)
Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
2022 J jnl
Lila: A Unified Benchmark for Mathematical Reasoning.
CoRR
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022 A* conf
Memory-assisted prompt editing to improve GPT-3 after deployment.
EMNLP
Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
2022 J jnl
Memory-assisted prompt editing to improve GPT-3 after deployment.
CoRR
Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
2022 — conf
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks.
ACL (1)
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
2022 J jnl
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks.
CoRR
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
2022 J jnl
Towards Teachable Reasoning Systems.
CoRR
Bhavana Dalvi, Oyvind Tafjord, Peter Clark
2022 A* conf
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.
EMNLP
Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark
2022 A* conf
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment.
EMNLP
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
2022 J jnl
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment.
CoRR
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
2021 — conf
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
EMNLP (1)
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 J jnl
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
CoRR
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 J jnl
CURIE: An Iterative Querying Approach for Reasoning About Situations.
CoRR
Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy
2021 J jnl
DREAM: Uncovering Mental Models behind Language Models.
CoRR
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
2021 J jnl
Enriching a Model's Notion of Belief using a Persistent Memory.
CoRR
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 — conf
Explaining Answers with Entailment Trees.
EMNLP (1)
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
2021 J jnl
Explaining Answers with Entailment Trees.
CoRR
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
2021 J jnl
General-Purpose Question-Answering with Macaw.
CoRR
Oyvind Tafjord, Peter Clark
2021 J jnl
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI.
CoRR
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
2021 — conf
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI.
EMNLP (1)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
2021 J jnl
Improving Neural Model Performance through Natural Language Feedback on Their Explanations.
CoRR
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy
2021 J jnl
Improving scripts with a memory of natural feedback.
CoRR
Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
2021 J jnl
Interscript: A dataset for interactive learning of scripts through error feedback.
CoRR
Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang
2021 — conf
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
ACL/IJCNLP (Findings)
Oyvind Tafjord, Bhavana Dalvi, Peter Clark
2021 — conf
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.
NAACL-HLT
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
2021 — conf
Think about it! Improving defeasible reasoning by first modeling the question scenario.
EMNLP (1)
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2021 J jnl
Think about it! Improving defeasible reasoning by first modeling the question scenario.
CoRR
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2021 J jnl
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.
CoRR
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
2021 J jnl
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2021 — conf
proScript: Partially Ordered Scripts Generation.
EMNLP (Findings)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2020 — conf
A Dataset for Tracking Entities in Open Domain Procedural Text.
EMNLP (1)
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
2020 J jnl
A Dataset for Tracking Entities in Open Domain Procedural Text.
CoRR
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
2020 J jnl
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations.
CoRR
Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark
2020 J jnl
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
AI Mag.
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
2020 J jnl
GenericsKB: A Knowledge Base of Generic Statements.
CoRR
Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark
2020 J jnl
Knowledge Patterns.
CoRR
Peter Clark, John A. Thompson, Bruce W. Porter
2020 A* conf
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
NeurIPS
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
2020 — conf
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering.
EMNLP (1)
Harsh Jhamtani, Peter Clark
2020 J jnl
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering.
CoRR
Harsh Jhamtani, Peter Clark
2020 B conf
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
LREC
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2020 J jnl
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
CoRR
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2020 A* conf
QASC: A Dataset for Question Answering via Sentence Composition.
AAAI
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal
2020 J jnl
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
CoRR
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
2020 J jnl
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.
CoRR
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
2020 A* conf
Transformers as Soft Reasoners over Language.
IJCAI
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020 J jnl
Transformers as Soft Reasoners over Language.
CoRR
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020 — conf
UnifiedQA: Crossing Format Boundaries With a Single QA System.
EMNLP (Findings)
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
2020 J jnl
UnifiedQA: Crossing Format Boundaries With a Single QA System.
CoRR
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
2020 — conf
What-if I ask you to explain: Explaining the effects of perturbations in procedural text.
EMNLP (Findings)
Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
2020 J jnl
What-if I ask you to explain: Explaining the effects of perturbations in procedural text.
CoRR
Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
2019 — conf
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
NAACL-HLT (1)
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2019 J jnl
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
CoRR
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2019 A* conf
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming.
AAAI
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
2019 J jnl
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming.
CoRR
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
2019 — conf
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text.
EMNLP/IJCNLP (1)
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
2019 J jnl
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text.
CoRR
Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
2019 — conf
Exploiting Explicit Paths for Multi-hop Reading Comprehension.
ACL (1)
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark
2019 J jnl
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
CoRR
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
2019 J jnl
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
CoRR
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2019 — ed.
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.
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering
Andreas Martin, Knut Hinkelmann, Aurona Gerber, Doug Lenat, Frank van Harmelen, Peter Clark
2019 B conf
Project Aristo: Towards Machines that Capture and Reason with Science Knowledge.
K-CAP
Peter Clark
2019 J jnl
QASC: A Dataset for Question Answering via Sentence Composition.
CoRR
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal
2019 A* conf
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships.
AAAI
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2019 — conf
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.
EMNLP/IJCNLP (1)
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019 J jnl
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.
CoRR
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019 — conf
Reasoning Over Paragraph Effects in Situations.
MRQA@EMNLP
Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
2019 J jnl
Reasoning Over Paragraph Effects in Situations.
CoRR
Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
2019 J jnl
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag.
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
2019 — conf
WIQA: A dataset for "What if..." reasoning over procedural text.
EMNLP/IJCNLP (1)
Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut
2019 J jnl
WIQA: A dataset for "What if..." reasoning over procedural text.
CoRR
Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark
2019 — conf
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering.
EMNLP/IJCNLP (1)
Tushar Khot, Ashish Sabharwal, Peter Clark
2019 J jnl
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering.
CoRR
Tushar Khot, Ashish Sabharwal, Peter Clark
2018 A* conf
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models.
EMNLP
Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark
2018 J jnl
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models.
CoRR
Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark
2018 A* conf
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
EMNLP
Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal
2018 J jnl
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
CoRR
Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal
2018 A* conf
Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions.
KR
Arindam Mitra, Chitta Baral, Peter Clark
2018 J jnl
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships.
CoRR
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2018 A* conf
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
EMNLP
Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
2018 J jnl
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
CoRR
Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
2018 A* conf
SciTaiL: A Textual Entailment Dataset from Science Question Answering.
AAAI
Tushar Khot, Ashish Sabharwal, Peter Clark
2018 J jnl
Story Generation and Aviation Incident Representation.
CoRR
Peter Clark
2018 J jnl
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
CoRR
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord
2018 J jnl
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension.
CoRR
Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark
2018 — conf
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension.
NAACL-HLT
Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark
2018 J jnl
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text.
CoRR
Peter Clark, Bhavana Dalvi, Niket Tandon
2018 J jnl
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?
CoRR
Peter Clark
2017 — conf
Answering Complex Questions Using Open Information Extraction.
ACL (2)
Tushar Khot, Ashish Sabharwal, Peter Clark
2017 J jnl
Answering Complex Questions Using Open Information Extraction.
CoRR
Tushar Khot, Ashish Sabharwal, Peter Clark
2017 J jnl
Domain-Targeted, High Precision Knowledge Extraction.
Trans. Assoc. Comput. Linguistics
Bhavana Dalvi Mishra, Niket Tandon, Peter Clark
2017 J jnl
Framing QA as Building and Ranking Intersentence Answer Justifications.
Comput. Linguistics
Peter Jansen, Rebecca Sharp, Mihai Surdeanu, Peter Clark
2017 — conf
Machine Reading as Model Construction.
K-CAP Workshops
Peter Clark
2017 J jnl
Moving beyond the Turing Test with the Allen AI Science Challenge.
Commun. ACM
Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni
2017 B conf
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification.
CoNLL
Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond
2016 A* conf
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.
AAAI
Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi
2016 A* conf
Creating Causal Embeddings for Question Answering with Minimal Supervision.
EMNLP
Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond
2016 J jnl
Creating Causal Embeddings for Question Answering with Minimal Supervision.
CoRR
Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond
2016 A* conf
Cross Sentence Inference for Process Knowledge.
EMNLP
Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark
2016 — conf
IKE - An Interactive Tool for Knowledge Extraction.
AKBC@NAACL-HLT
Bhavana Dalvi, Sumithra Bhakthavatsalam, Chris Clark, Peter Clark, Oren Etzioni, Anthony Fader, Dirk Groeneveld
2016 J jnl
Moving Beyond the Turing Test with the Allen AI Science Challenge.
CoRR
Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni
2016 J jnl
My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI.
AI Mag.
Peter Clark, Oren Etzioni
2016 A* conf
Question Answering via Integer Programming over Semi-Structured Knowledge.
IJCAI
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth
2016 J jnl
Question Answering via Integer Programming over Semi-Structured Knowledge.
CoRR
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth
2016 B conf
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.
COLING
Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark
2015 A* conf
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge.
EMNLP
Yang Li, Peter Clark
2015 A* conf
Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!
AAAI
Peter Clark
2015 A* conf
Exploring Markov Logic Networks for Question Answering.
EMNLP
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2015 J jnl
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.
Trans. Assoc. Comput. Linguistics
Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark
2015 — conf
Learning Knowledge Graphs for Question Answering through Conversational Dialog.
HLT-NAACL
Ben Hixon, Peter Clark, Hannaneh Hajishirzi
2015 J jnl
Markov Logic Networks for Natural Language Question Answering.
CoRR
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2015 — conf
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering.
HLT-NAACL
Rebecca Sharp, Peter Jansen, Mihai Surdeanu, Peter Clark
2014 — conf
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking.
ACL (1)
Peter Jansen, Mihai Surdeanu, Peter Clark
2014 A* conf
Modeling Biological Processes for Reading Comprehension.
EMNLP
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning
2013 — conf
A Lightweight and High Performance Monolingual Word Aligner.
ACL (2)
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
2013 — conf
A study of the knowledge base requirements for passing an elementary science test.
AKBC@CIKM
Peter Clark, Philip Harrison, Niranjan Balasubramanian
2013 — conf
Answer Extraction as Sequence Tagging with Tree Edit Distance.
HLT-NAACL
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
2013 — conf
Automatic Coupling of Answer Extraction and Information Retrieval.
ACL (2)
Xuchen Yao, Benjamin Van Durme, Peter Clark
2013 — conf
Extracting meronyms for a biology knowledge base using distant supervision.
AKBC@CIKM
Xiao Ling, Peter Clark, Daniel S. Weld
2013 — conf
From Textual Entailment to Knowledgeable Machines.
JSSP
Peter Clark
2013 J jnl
Inquire Biology: A Textbook that Answers Questions.
AI Mag.
Vinay K. Chaudhri, Britte Cheng, Adam Overholtzer, Jeremy Roschelle, Aaron Spaulding, Peter Clark, Mark Greaves, Dave Gunning
2013 A* conf
Learning Biological Processes with Global Constraints.
EMNLP
Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding, Christopher D. Manning
2013 — conf
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge.
SemEval@NAACL-HLT
Myroslava O. Dzikovska, Rodney D. Nielsen, Chris Brew, Claudia Leacock, Danilo Giampiccolo, Luisa Bentivogli, Peter Clark, Ido Dagan, Hoa Trang Dang
2013 A* conf
Semi-Markov Phrase-Based Monolingual Alignment.
EMNLP
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
2013 — conf
Terra Populus-Integrated Data for Population and Environmental Research.
IASSIST Conference
Peter Clark, Alex Jokela
2012 — conf
An Entailment-Based Approach to the QA4MRE Challenge.
CLEF (Online Working Notes/Labs/Workshop)
Peter Clark, Philip Harrison, Xuchen Yao
2012 — conf
Constructing a Textual KB from a Biology TextBook.
AKBC-WEKEX@NAACL-HLT
Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni
2012 — conf
Recognizing Textual Entailment, QA4MRE, and Machine Reading.
CLEF (Online Working Notes/Labs/Workshop)
Peter Clark
2011 B conf
Preliminary steps towards a knowledge factory process.
K-CAP
Vinay K. Chaudhri, Nikhil Dinesh, John Pacheco, Gary Ng, Peter Clark, Andrew Goldenkranz, Patrice Seyed, Naveen Sharma
2011 — conf
The Seventh PASCAL Recognizing Textual Entailment Challenge.
TAC
Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo
2011 — conf
The use of virtual fiducials in image-guided kidney surgery.
Image-Guided Procedures
Courtenay L. Glisson, Rowena E. Ong, Amber L. Simpson, Peter Clark, S. Duke Herrell, Robert L. Galloway
2010 — conf
BLUE-Lite: a Knowledge-Based Lexical Entailment System for RTE6.
TAC
Peter Clark, Philip Harrison
2010 — conf
Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably.
COLING (Posters)
Peter Clark, Philip Harrison
2010 — ed.
Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA - Tutorial Abstracts
NAACL (Tutorial Abstracts)
Jason Baldwin, Peter Clark, Gökhan Tür
2010 — conf
IPUMS International: Expanding Support for International Comparison and Data Access.
IASSIST
Wendy Thomas, Peter Clark
2010 J jnl
Project Halo Update - Progress Toward Digital Aristotle.
AI Mag.
David Gunning, Vinay K. Chaudhri, Peter Clark, Ken Barker, Shaw Yi Chaw, Mark Greaves, Benjamin N. Grosof, Alice Leung, David D. McDonald, Sunil Mishra, John Pacheco, Bruce W. Porter, Aaron Spaulding, Dan Tecuci, Jing Tien
2010 — conf
The Sixth PASCAL Recognizing Textual Entailment Challenge.
TAC
Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo
2009 — conf
A Study of Machine Reading from Multiple Texts.
AAAI Spring Symposium: Learning by Reading and Learning to Read
Peter Clark, John A. Thompson
2009 — conf
An Inference-Based Approach to Recognizing Entailment.
TAC
Peter Clark, Philip Harrison
2009 B conf
Large-scale extraction and use of knowledge from text.
K-CAP
Peter Clark, Philip Harrison
2009 — conf
Naturalness vs. Predictability: A Key Debate in Controlled Languages.
CNL (Pre-Proceedings)
Peter Clark, Philip Harrison, William R. Murray, John A. Thompson
2009 — conf
Naturalness vs. Predictability: A Key Debate in Controlled Languages.
CNL
Peter Clark, William R. Murray, Philip Harrison, John A. Thompson
2008 — conf
Boeing's NLP System and the Challenges of Semantic Representation.
STEP
Peter Clark, Philip Harrison
2008 B conf
Knowledge Patterns.
EKAW
Peter Clark
2008 — conf
Recognizing Textual Entailment with Logical Inference.
TAC
Peter Clark, Philip Harrison
2007 A* conf
AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks.
AAAI
Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter Clark, Daniel Hansch, Bonnie E. John, Sunil Mishra, John Pacheco, Bruce W. Porter, Aaron Spaulding, Moritz Weiten
2007 B conf
Capturing and answering questions posed to a knowledge-based system.
K-CAP
Peter Clark, Shaw Yi Chaw, Ken Barker, Vinay K. Chaudhri, Philip Harrison, James Fan, Bonnie E. John, Bruce W. Porter, Aaron Spaulding, John A. Thompson, Peter Z. Yeh
2007 J jnl
Project Hindsight: Exploring Necessity and Possibility in Cycles of Structuration and Co-Evolution.
Technol. Anal. Strateg. Manag.
Peter Clark, Charles Booth, Michael Rowlinson, Stephen Procter, Agnes Delahaye
2007 — conf
Reading to Learn: An Investigation into Language Understanding.
AAAI Spring Symposium: Machine Reading
Peter Clark, Philip Harrison, John A. Thompson, Rick Wojcik, Tom Jenkins, David J. Israel
2007 — ch.
The Logicism of Frege, Dedekind, and Russell.
The Oxford Handbook of Philosophy of Mathematics and Logic
William Demopoulos, Peter Clark
2006 — conf
From WordNet to a Knowlege Base.
AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering
Peter Clark, Philip Harrison, Tom Jenkins, John A. Thompson, Rick Wojcik
2005 Misc conf
Acquiring and Using World Knowledge Using a Restricted Subset of English.
FLAIRS
Peter Clark, Philip Harrison, Thomas Jenkins, John A. Thompson, Richard H. Wojcik
2005 B ed.
Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), October 2-5, 2005, Banff, Alberta, Canada
Peter Clark, Guus Schreiber
2004 A* conf
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies.
KR
Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter Clark, James Fan, David J. Israel, Sunil Mishra, Bruce W. Porter, Pedro Romero, Dan Tecuci, Peter Z. Yeh
2004 B conf
Graph-Based Acquisition of Expressive Knowledge.
EKAW
Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco, Peter Clark, Bruce W. Porter, Patrick J. Hayes
2004 — ch.
Knowledge Patterns.
Handbook on Ontologies
Peter Clark, John A. Thompson, Bruce W. Porter
2004 J jnl
Project Halo: Towards a Digital Aristotle.
AI Mag.
Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Mönch, Henrik Oppermann, Dirk Wenke, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Z. Yeh, Dan Tecuci, Peter Clark
2004 A* conf
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems.
KR
Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, Peter Clark
2003 C conf
A Knowledge Acquisition Tool for Course of Action Analysis.
IAAI
Kim Barker, Jim Blythe, Gary C. Borchardt, Vinay K. Chaudhri, Peter Clark, Paul R. Cohen, Julie Fitzgerald, Kenneth D. Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary W. King, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Tomás E. Uribe, Jeffrey M. Usher, Peter Z. Yeh
2003 Misc conf
A Semantic Infosphere.
ISWC
Michael Uschold, Peter Clark, Fred Dickey, Casey K. Fung, Sonia Smith, Stephen A. Uczekaj, Michael Wilke, Sean Bechhofer, Ian Horrocks
2003 B conf
Enabling domain experts to convey questions to a machine: a modified, template-based approach.
K-CAP
Peter Clark, Vinay K. Chaudhri, Sunil Mishra, Jérôme Thoméré, Ken Barker, Bruce W. Porter
2003 — conf
Knowledge-Driven Text Interpretation and Question-Answering: Some Current Activities at Boeing Math and Computing Technology.
New Directions in Question Answering
Peter Clark, Philip Harrison, Thomas Jenkins, John A. Thompson, Richard H. Wojcik
2003 J jnl
Network QoS for Grid Systems.
Int. J. High Perform. Comput. Appl.
Saleem N. Bhatti, Søren-Aksel Sørensen, Peter Clark, Jon Crowcroft
2002 — conf
A Web-Based Ontology Browsing and Editing System.
AAAI/IAAI
Jérôme Thoméré, Ken Barker, Vinay K. Chaudhri, Peter Clark, Michael Eriksen, Sunil Mishra, Bruce W. Porter, Andres C. Rodriguez
2001 B conf
A library of generic concepts for composing knowledge bases.
K-CAP
Ken Barker, Bruce W. Porter, Peter Clark
2001 B conf
Knowledge entry as the graphical assembly of components.
K-CAP
Peter Clark, John A. Thompson, Ken Barker, Bruce W. Porter, Vinay K. Chaudhri, Andres C. Rodriguez, Jérôme Thoméré, Sunil Mishra, Yolanda Gil, Patrick J. Hayes, Thomas Reichherzer
2001 B conf
Representing roles and purpose.
K-CAP
James Fan, Ken Barker, Bruce W. Porter, Peter Clark
2000 — conf
Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search.
AAAI/IAAI
Peter Clark, John A. Thompson, Heather Holmback, Lisbeth Duncan
2000 A* conf
Knowledge Patterns.
KR
Peter Clark, John A. Thompson, Bruce W. Porter
1997 — conf
Building Concept Representations from Reusable Components.
AAAI/IAAI
Peter Clark, Bruce W. Porter
1997 — book
Developing business applications with OpenStep.
Nik Gervae, Peter Clark
1997 J jnl
Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods.
Fundam. Informaticae
Peter Clark, Cao Feng, Stan Matwin, Ko Fung
1997 Misc conf
Using Access paths to Guide Inference with Conceptual Graphs.
ICCS
Peter Clark, Bruce W. Porter
1993 — conf
Learning Domain Theories using Abstract Beckground Knowledge.
ECML
Peter Clark, Stan Matwin
1993 A* conf
Using Qualitative Models to Guide Inductive Learning.
ICML
Peter Clark, Stan Matwin
1992 — conf
Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation.
ML
Peter Clark, Robert C. Holte
1991 — —
A model of argumentation and its application in a cooperative expert system.
Peter Clark
1991 — conf
Panel: Applications of Machine Learning: Notes from the Panel Members.
EWSL
Peter Clark, Bojan Cestnik, Claude Sammut, Joachim Stender
1991 — conf
Rule Induction with CN2: Some Recent Improvements.
EWSL
Peter Clark, Robin Boswell
1989 J jnl
The CN2 Induction Algorithm.
Mach. Learn.
Peter Clark, Tim Niblett
1988 — conf
Representing Arguments as Background Knowledge for Constraining Gereralisation.
EWSL
Peter Clark
1987 — conf
Induction in Noisy Domains.
EWSL
Peter Clark, Tim Niblett
1987 J jnl
The Value of Information.
J. Inf. Technol.
Catherine Griffiths, Peter Clark