Peter A. Jansen

Affiliations:
  • University of Arizona, AZ, USA


According to our database1, Peter A. Jansen authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
CoRR, 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

Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games.
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

Behavior Cloned Transformers are Neurosymbolic Reasoners.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

TextWorldExpress: Simulating Text Games at One Million Steps Per Second.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022
Extracting Space Situational Awareness Events from News Text.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

ScienceWorld: Is your Agent Smarter than a 5th Grader?
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

A Systematic Survey of Text Worlds as Embodied Natural Language Environments.
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

Explaining Answers with Entailment Trees.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
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

QASC: A Dataset for Question Answering via Sentence Composition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration.
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

Controlling Information Aggregation for Complex Question Answering.
Proceedings of the Advances in Information Retrieval, 2018

2017
Framing QA as Building and Ranking Intersentence Answer Justifications.
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
Creating Causal Embeddings for Question Answering with Minimal Supervision.
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
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.
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
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking.
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


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