What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text

Peter E. Clark, Bhavana Dalvi, Niket Tandon · arXiv.org · 2018

Summary

This work leverages VerbNet to build a rulebase of the preconditions and effects of actions, and uses it along with commonsense knowledge of persistence to answer questions about change in paragraphs describing processes.

Type: preprint
Published: 2018-04-15
Cited by: 25
References: 38
Access: Open access
DOI: https://doi.org/10.48550/arxiv.1804.05435
arXiv: https://arxiv.org/abs/1804.05435
OpenAlex: https://openalex.org/W2797453758
Semantic Scholar: https://api.semanticscholar.org/CorpusID:4897037

Keywords

Computer science, Lexicon, Leverage (statistics), Inference, Artificial intelligence

References

ClausIE: clause-based open information extractionLuciano Del Corro, Rainer Gemulla — 2013
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Cited by

Reasoning about Actions and State Changes by Injecting Commonsense KnowledgeNiket Tandon, Bhavana Dalvi, Joël Grus — 2018
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set ProgrammingArindam Mitra, Peter E. Clark, Oyvind Tafjord — 2019
Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying GamesLara J. Martin, Srijan Sood, Mark Riedl — 2018
Processing Narratives by Means of Action LanguagesCraig Olson — 2019
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph ComprehensionBhavana Dalvi Mishra, Lifu Huang, Niket Tandon — 2018
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural TextBhavana Dalvi, Niket Tandon, Antoine Bosselut — 2019
Information Extraction Tool Text2ALM: From Narratives to Action Language System DescriptionsCraig Olson, Yuliya Lierler — 2019
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic ContextsWanjun Zhong, Duyu Tang, Nan Duan — 2020
Automatic Entity State Annotation using the VerbNet Semantic ParserGhazaleh Kazeminejad, Martha Palmer, Tao Li — 2021
An ASP-based Approach to Answering Natural Language Questions for TextsDhruva Pendharkar, Kinjal Basu, Farhad Shakerin — 2021
Semantic Representations for NLP Using VerbNet and the Generative LexiconSusan Windisch Brown, Julia Bonn, Ghazaleh Kazeminejad — 2022
Beyond the Benchmarks: Toward Human-Like Lexical RepresentationsSuzanne Stevenson, Paola Merlo — 2022
Learning Action Conditions from Instructional Manuals for Instruction UnderstandingTe-Lin Wu, Caiqi Zhang, Qingyuan Hu — 2022
Componential Analysis of English VerbsGhazaleh Kazeminejad, Martha Palmer, Susan Windisch Brown — 2022
Enhancing Textual Knowledge Discovery using a Context-Awareness ApproachNour Matta, Nada Matta, Evan Giret — 2021
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural TextAbhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal — 2023
Information extraction tool text2alm: From narratives to action language system descriptions and query answeringYuliya Lierler, Gang Ling, Craig Olson — 2024
Order-Based Pre-training Strategies for Procedural Text UnderstandingAbhilash Nandy, Yash Kulkarni, Pawan Goyal — 2024
An Explainable Approach to Understanding Gender Stereotype TextManuela Nayantara Jeyaraj, Sarah Jane Delany — 2024
Importance of Context Awareness in NLPNour Matta, Nada Matta, Philippe Herr — 2024

What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text

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