# An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols

arXiv: https://arxiv.org/abs/1805.00195 · HTML: https://mlsanity.com/paper/1805.00195/

## Key facts

- Cited by 18 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 May 2018.

## Built on by (most cited first, 18 of 18)

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- [ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols](https://mlsanity.com/paper/2201.09329/) (2022)
- [Towards Flow Graph Prediction of Open-Domain Procedural Texts](https://mlsanity.com/paper/2305.19497/) (2023)
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## Abstract (arXiv)

We describe an effort to annotate a corpus of natural language instructions consisting of 622 wet lab protocols to facilitate automatic or semi-automatic conversion of protocols into a machine-readable format and benefit biological research. Experimental results demonstrate the utility of our corpus for developing machine learning approaches to shallow semantic parsing of instructional texts. We make our annotated Wet Lab Protocol Corpus available to the research community.