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2020 – today
- 2024
[c129]Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen:
Can Language Models Serve as Text-Based World Simulators? ACL (Short Papers) 2024: 1-17- [c128]Yuling Gu, Oyvind Tafjord, Peter Clark:
Digital Socrates: Evaluating LLMs through Explanation Critiques. ACL (1) 2024: 5559-5586 - [c127]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) 2024: 7002-7024 - [c126]Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon:
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. ACL (Findings) 2024: 15597-15611 - [c125]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:
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. EMNLP 2024: 9458-9482 - [c124]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. EMNLP 2024: 12622-12645 - [c123]Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot:
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. ICLR 2024 - [c122]Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark:
Position: Data-driven Discovery with Large Generative Models. ICML 2024 - [c121]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. ICML 2024 - [c120]Nathaniel Weir, Peter Clark, Benjamin Van Durme:
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. IJCAI 2024: 3602-3612 - [c119]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT 2024: 2093-2111 - [c118]Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot:
ADaPT: As-Needed Decomposition and Planning with Language Models. NAACL-HLT (Findings) 2024: 4226-4252 - [c117]Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal:
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT 2024: 4971-5012 - [c116]Li Zhang, Peter A. Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. *SEM@NAACL 2024: 212-221 - [i93]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. CoRR abs/2401.06751 (2024) - [i92]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. CoRR abs/2402.03244 (2024) - [i91]Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark:
Data-driven Discovery with Large Generative Models. CoRR abs/2402.13610 (2024) - [i90]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:
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. CoRR abs/2402.14798 (2024) - [i89]Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon:
PROC2PDDL: Open-Domain Planning Representations from Texts. CoRR abs/2403.00092 (2024) - [i88]Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark:
Learning to Reason via Program Generation, Emulation, and Search. CoRR abs/2405.16337 (2024) - [i87]Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. CoRR abs/2405.19793 (2024) - [i86]Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen:
Can Language Models Serve as Text-Based World Simulators? CoRR abs/2406.06485 (2024) - [i85]Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark:
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents. CoRR abs/2406.06769 (2024) - [i84]Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark:
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. CoRR abs/2407.01725 (2024) - [i83]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle D. Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. CoRR abs/2409.07440 (2024) - [i82]Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi:
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs. CoRR abs/2410.13648 (2024) - 2023
- [c115]Yuling Gu, Bhavana Dalvi Mishra, Peter Clark:
Do language models have coherent mental models of everyday things? ACL (1) 2023: 1892-1913 - [c114]Afra Feyza Akyürek, Ekin Akyürek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL (1) 2023: 7716-7733 - [c113]Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal:
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP 2023: 8276-8288 - [c112]Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal:
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP 2023: 8392-8417 - [c111]Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark:
Language Models with Rationality. EMNLP 2023: 14190-14201 - [c110]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. EMNLP 2023: 14384-14396 - [c109]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-step Reasoning. ICLR 2023 - [c108]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR 2023 - [c107]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. ICLR 2023 - [c106]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:
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023 - [i81]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) - [i80]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) - [i79]Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal:
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. CoRR abs/2305.14010 (2023) - [i78]Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark:
Language Models with Rationality. CoRR abs/2305.14250 (2023) - [i77]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) - [i76]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) - [i75]Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark:
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. CoRR abs/2310.10134 (2023) - [i74]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. CoRR abs/2311.02807 (2023) - [i73]Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot:
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. CoRR abs/2311.04892 (2023) - [i72]Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot:
ADaPT: As-Needed Decomposition and Planning with Language Models. CoRR abs/2311.05772 (2023) - [i71]Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon:
One Size Does Not Fit All: Customizing Open-Domain Procedures. CoRR abs/2311.09510 (2023) - [i70]Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal:
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR abs/2311.09519 (2023) - [i69]Yuling Gu, Oyvind Tafjord, Peter Clark:
Digital Socrates: Evaluating LLMs through explanation critiques. CoRR abs/2311.09613 (2023) - [i68]Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord:
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. CoRR abs/2312.07527 (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, 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]Peter Clark, Philip Harrison, Xuchen Yao:
An Entailment-Based Approach to the QA4MRE Challenge. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c38]Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni:
Constructing a Textual KB from a Biology TextBook. AKBC-WEKEX@NAACL-HLT 2012: 74-78 - 2011
- [c37]Aaron Spaulding, Adam Overholtzer, John Pacheco, Jing Tien, Vinay K. Chaudhri, David Gunning, Peter Clark:
Inquire for iPad: A Biology Textbook That Answers Questions. AIED 2011: 627 - [c36]Vinay K. Chaudhri, Nikhil Dinesh, John Pacheco, Gary Ng, Peter Clark, Andrew Goldenkranz, Patrice Seyed, Naveen Sharma:
Preliminary steps towards a knowledge factory process. K-CAP 2011: 179-180 - [c35]Courtenay L. Glisson, Rowena E. Ong, Amber L. Simpson, Peter Clark, S. Duke Herrell, Robert L. Galloway:
The use of virtual fiducials in image-guided kidney surgery. Image-Guided Procedures 2011: 796402 - [i6]Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo:
The Seventh PASCAL Recognizing Textual Entailment Challenge. TAC 2011 - 2010
- [j7]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:
Project Halo Update - Progress Toward Digital Aristotle. AI Mag. 31(3): 33-58 (2010) - [c34]Peter Clark, Philip Harrison:
Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably. COLING (Posters) 2010: 171-179 - [e2]Jason Baldwin, Peter Clark, Gökhan Tür:
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. Association for Computational Linguistics 2010 [contents] - [i5]Wendy Thomas, Peter Clark:
IPUMS International: Expanding Support for International Comparison and Data Access. IASSIST 2010 - [i4]Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo:
The Sixth PASCAL Recognizing Textual Entailment Challenge. TAC 2010 - [i3]Peter Clark, Philip Harrison:
BLUE-Lite: a Knowledge-Based Lexical Entailment System for RTE6. TAC 2010
2000 – 2009
- 2009
- [c33]Peter Clark, John A. Thompson:
A Study of Machine Reading from Multiple Texts. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 14-21 - [c32]Peter Clark, Philip Harrison, William R. Murray, John A. Thompson:
Naturalness vs. Predictability: A Key Debate in Controlled Languages. CNL (Pre-Proceedings) 2009 - [c31]Peter Clark, William R. Murray, Philip Harrison, John A. Thompson:
Naturalness vs. Predictability: A Key Debate in Controlled Languages. CNL 2009: 65-81 - [c30]Peter Clark, Philip Harrison:
Large-scale extraction and use of knowledge from text. K-CAP 2009: 153-160 - [i2]Peter Clark, Philip Harrison:
An Inference-Based Approach to Recognizing Entailment. TAC 2009 - 2008
- [c29]Peter Clark, Philip Harrison:
Boeing's NLP System and the Challenges of Semantic Representation. STEP 2008 - [c28]Peter Clark:
Knowledge Patterns. EKAW 2008: 1-3 - [i1]Peter Clark, Philip Harrison:
Recognizing Textual Entailment with Logical Inference. TAC 2008 - 2007
- [j6]Peter Clark, Charles Booth, Michael Rowlinson, Stephen Procter, Agnes Delahaye:
Project Hindsight: Exploring Necessity and Possibility in Cycles of Structuration and Co-Evolution. Technol. Anal. Strateg. Manag. 19(1): 83-97 (2007) - [c27]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:
AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks. AAAI 2007: 1960-1961 - [c26]Peter Clark, Philip Harrison, John A. Thompson, Rick Wojcik, Tom Jenkins, David J. Israel:
Reading to Learn: An Investigation into Language Understanding. AAAI Spring Symposium: Machine Reading 2007: 29-35 - [c25]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:
Capturing and answering questions posed to a knowledge-based system. K-CAP 2007: 63-70 - [p2]William Demopoulos, Peter Clark:
The Logicism of Frege, Dedekind, and Russell. The Oxford Handbook of Philosophy of Mathematics and Logic 2007: 129-165 - 2006
- [c24]Peter Clark, Philip Harrison, Tom Jenkins, John A. Thompson, Rick Wojcik:
From WordNet to a Knowlege Base. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006: 10-15 - 2005
- [c23]Peter Clark, Philip Harrison, Thomas Jenkins, John A. Thompson, Richard H. Wojcik:
Acquiring and Using World Knowledge Using a Restricted Subset of English. FLAIRS 2005: 506-511 - [e1]Peter Clark, Guus Schreiber:
Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), October 2-5, 2005, Banff, Alberta, Canada. ACM 2005, ISBN 1-59593-163-5 [contents] - 2004
- [j5]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:
Project Halo: Towards a Digital Aristotle. AI Mag. 25(4): 29-48 (2004) - [c22]Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco, Peter Clark, Bruce W. Porter, Patrick J. Hayes:
Graph-Based Acquisition of Expressive Knowledge. EKAW 2004: 231-247 - [c21]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:
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies. KR 2004: 488-497 - [c20]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:
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. KR 2004: 507-515 - [p1]Peter Clark, John A. Thompson, Bruce W. Porter:
Knowledge Patterns. Handbook on Ontologies 2004: 191-208 - 2003
- [j4]Saleem N. Bhatti, Søren-Aksel Sørensen, Peter Clark, Jon Crowcroft:
Network QoS for Grid Systems. Int. J. High Perform. Comput. Appl. 17(3): 219-236 (2003) - [c19]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:
A Knowledge Acquisition Tool for Course of Action Analysis. IAAI 2003: 43-50 - [c18]Peter Clark, Vinay K. Chaudhri, Sunil Mishra, Jérôme Thoméré, Ken Barker, Bruce W. Porter:
Enabling domain experts to convey questions to a machine: a modified, template-based approach. K-CAP 2003: 13-19 - [c17]Peter Clark, Philip Harrison, Thomas Jenkins, John A. Thompson, Richard H. Wojcik:
Knowledge-Driven Text Interpretation and Question-Answering: Some Current Activities at Boeing Math and Computing Technology. New Directions in Question Answering 2003: 72 - [c16]Michael Uschold, Peter Clark, Fred Dickey, Casey K. Fung, Sonia Smith, Stephen A. Uczekaj, Michael Wilke, Sean Bechhofer, Ian Horrocks:
A Semantic Infosphere. ISWC 2003: 882-896 - 2002
- [c15]Jérôme Thoméré, Ken Barker, Vinay K. Chaudhri, Peter Clark, Michael Eriksen, Sunil Mishra, Bruce W. Porter, Andres C. Rodriguez:
A Web-Based Ontology Browsing and Editing System. AAAI/IAAI 2002: 927-934 - 2001
- [c14]Ken Barker, Bruce W. Porter, Peter Clark:
A library of generic concepts for composing knowledge bases. K-CAP 2001: 14-21 - [c13]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:
Knowledge entry as the graphical assembly of components. K-CAP 2001: 22-29 - [c12]James Fan, Ken Barker, Bruce W. Porter, Peter Clark:
Representing roles and purpose. K-CAP 2001: 38-43 - 2000
- [c11]Peter Clark, John A. Thompson, Heather Holmback, Lisbeth Duncan:
Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search. AAAI/IAAI 2000: 988-995 - [c10]Peter Clark, John A. Thompson, Bruce W. Porter:
Knowledge Patterns. KR 2000: 591-600
1990 – 1999
- 1997
- [b2]Nik Gervae, Peter Clark:
Developing business applications with OpenStep. Springer 1997, ISBN 978-0-387-94852-2, pp. I-XX, 1-289 - [j3]Peter Clark, Cao Feng, Stan Matwin, Ko Fung:
Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods. Fundam. Informaticae 30(3/4): 227-240 (1997) - [c9]Peter Clark, Bruce W. Porter:
Building Concept Representations from Reusable Components. AAAI/IAAI 1997: 369-376 - [c8]Peter Clark, Bruce W. Porter:
Using Access paths to Guide Inference with Conceptual Graphs. ICCS 1997: 521-535 - 1993
- [c7]Peter Clark, Stan Matwin:
Learning Domain Theories using Abstract Beckground Knowledge. ECML 1993: 360-365 - [c6]Peter Clark, Stan Matwin:
Using Qualitative Models to Guide Inductive Learning. ICML 1993: 49-56 - 1992
- [c5]Peter Clark, Robert C. Holte:
Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation. ML 1992: 82-91 - 1991
- [b1]Peter Clark:
A model of argumentation and its application in a cooperative expert system. University of Strathclyde, Glasgow, UK, 1991 - [c4]Peter Clark, Robin Boswell:
Rule Induction with CN2: Some Recent Improvements. EWSL 1991: 151-163 - [c3]Peter Clark, Bojan Cestnik, Claude Sammut, Joachim Stender:
Panel: Applications of Machine Learning: Notes from the Panel Members. EWSL 1991: 457-462
1980 – 1989
- 1989
- [j2]Peter Clark, Tim Niblett:
The CN2 Induction Algorithm. Mach. Learn. 3: 261-283 (1989) - 1988
- [c2]Peter Clark:
Representing Arguments as Background Knowledge for Constraining Gereralisation. EWSL 1988: 37-44 - 1987
- [j1]Catherine Griffiths, Peter Clark:
The Value of Information. J. Inf. Technol. 2(2): 100-101 (1987) - [c1]Peter Clark, Tim Niblett:
Induction in Noisy Domains. EWSL 1987: 11-30
Coauthor Index
Bhavana Dalvi
aka: Bhavana Dalvi Mishra
aka: Bhavana Dalvi Mishra
Kyle Richardson 0001
aka: Kyle D. Richardson
aka: Kyle D. Richardson
[c124] [c123] [c122] [c119] [c118] [c117] [i91] [i84] [i83] [c113] [c112] [c111] [c109] [c108] [i79] [i78] [i76] [i74] [i73] [i72] [i70] [c104] [c101] [i65] [i61] [i60] [i57] [c93] [c90] [i55] [i46] [j15] [c89] [c87] [i40] [i35] [c80] [c79] [c77] [i27] [i23] [i22] [c71] [c69] [c68] [i20] [i16] [i14] [i13] [c65] [i12] [c62] [c57] [i10] [c55] [i8]
[c128] [c125] [i90] [i85] [i82] [c112] [c111] [i78] [i76] [i75] [i69] [i68] [c103] [c101] [c100] [c97] [i64] [i63] [i59] [i57] [c96] [c92] [c91] [i55] [i52] [i51] [i49] [i48] [j15] [c87] [c84] [c83] [c82] [i42] [i40] [i37] [i32] [c81] [c80] [c78] [c75] [i31] [i29] [i28] [i27] [i26] [i20] [i13] [j13] [c62] [i11]
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Unpaywalled article links
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Archived links via Wayback Machine
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load citations from opencitations.net
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last updated on 2025-01-09 13:12 CET by the dblp team
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