Procedural Text Understanding

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (15 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Tracking the World State with Recurrent Entity Networks
  12 Dec 2016 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  The EntNet sets a new state-of-the-art on the bAbI tasks, and is the first method to solve all the tasks in the 10k training examples setting.
• Query-Reduction Networks for Question Answering
  14 Jun 2016 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we study the problem of question answering when reasoning over multiple facts is required.
• Order-Based Pre-training Strategies for Procedural Text Understanding
  6 Apr 2024 1 repository listed
  In this paper, we propose sequence-based pretraining methods to enhance procedural understanding in natural language processing.
• CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
  22 Oct 2023 1 repository listed
  In this paper, we propose CLMSM, a domain-specific, continual pre-training framework, that learns from a large set of procedural recipes.
• Coalescing Global and Local Information for Procedural Text Understanding
  26 Aug 2022 1 repository listed
  In this paper, we propose Coalescing Global and Local Information (CGLI), a new model that builds entity- and timestep-aware input representations (local input) considering the whole context (global input), and we…
• Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
  15 Apr 2021 1 repository listed
  This enables us to use pre-trained transformer-based language models on other QA benchmarks by adapting those to the procedural text understanding.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.