mlsanityData to 14 Oct 2026

Reasoning about Procedures with Natural Language Processing: A Tutorial

arXiv 2205.07455 ↗First posted 16 May 2022cs.CLcited by 8

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Abstract (arXiv)

This tutorial provides a comprehensive and in-depth view of the research on procedures, primarily in Natural Language Processing. A procedure is a sequence of steps intended to achieve some goal. Understanding procedures in natural language has a long history, with recent breakthroughs made possible by advances in technology. First, we discuss established approaches to collect procedures, by human annotation or extraction from web resources. Then, we examine different angles from which procedures can be reasoned about, as well as ways to represent them. Finally, we enumerate scenarios where procedural knowledge can be applied to the real world.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 38 of its 91 references that are in the map. First posted on arXiv 16 May 2022.

Builds on

38 of 91 references.

References · 38

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26 more
  1. 2018VirtualHome: Simulating Household Activities via Programscited by 415
  2. 2018WikiHow: A Large Scale Text Summarization Datasetcited by 204
  3. 2020WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarizationcited by 154
  4. 2019"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understandingcited by 123
  5. 2019WIQA: A dataset for "What if..." reasoning over procedural textcited by 71
  6. 2020Reasoning about Goals, Steps, and Temporal Ordering with WikiHowcited by 66
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  17. 2022Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Datacited by 22
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 3; 2025: 0; 2026: 1.

8 papers.

  1. 2023Causal Reasoning of Entities and Events in Procedural Textscited by 23
  2. 2023OpenPI2.0: An Improved Dataset for Entity Tracking in Textscited by 8
  3. 2023Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customizationcited by 5
  4. 2024Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Modelscited by 4
  5. 2022Incorporating Task-specific Concept Knowledge into Script Learningcited by 3
  6. 2024Instructional Text Across Disciplines: A Survey of Representations, Downstream Tasks, and Open Challenges Toward Capable AI Agentscited by 1
  7. 2026Procedural Knowledge Extraction from Industrial Troubleshooting Guides Using Vision Language Modelscited by 1
  8. 2024Structured Event Reasoning with Large Language Modelscited by 0