Peter A. Jansen
Affiliations:- University of Arizona, AZ, USA
According to our database1,
Peter A. Jansen
authored at least 36 papers
between 2012 and 2024.
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Bibliography
2024
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
CoRR, 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
CoRR, 2024
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024
2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR, 2023
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games.
CoRR, 2023
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Darmok and Jalad at Tanagra: A Dataset and Model for English-to-Tamarian Translation.
CoRR, 2021
CoRR, 2021
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
WorldTree V2: A Corpus of Science-Domain Structured Explanations and Inference Patterns supporting Multi-Hop Inference.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
CoSaTa: A Constraint Satisfaction Solver and Interpreted Language for Semi-Structured Tables of Sentences.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019
2018
Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Proceedings of the Advances in Information Retrieval, 2018
2017
Comput. Linguistics, 2017
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.
Proceedings of the COLING 2016, 2016
2015
Trans. Assoc. Comput. Linguistics, 2015
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2012
Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing.
Connect. Sci., 2012