mlsanityData to 14 Oct 2026

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

arXiv 1805.00195 ↗First posted 1 May 2018cs.CL cs.AIcited by 18

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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.

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

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 4; 2024: 1; 2025: 0; 2026: 1.

18 papers.

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  1. 2023UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognitioncited by 72
  2. 2021Process-Level Representation of Scientific Protocols with Interactive Annotationcited by 16
  3. 2021Automated Mining of Leaderboards for Empirical AI Researchcited by 16
  4. 2022Multi-task Active Learning for Pre-trained Transformer-based Modelscited by 16
  5. 2023ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graphcited by 11
  6. 2022Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Expertscited by 10
  7. 2022Computer Science Named Entity Recognition in the Open Research Knowledge Graphcited by 9
  8. 2023Improved Instruction Ordering in Recipe-Grounded Conversationcited by 7
  9. 2022PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Textcited by 6
  10. 2021SoftNER: Mining Knowledge Graphs From Cloud Incidentscited by 5
  11. 2022SynKB: Semantic Search for Synthetic Procedurescited by 4
  12. 2021Easy Semantification of Bioassayscited by 3
6 more
  1. 2021Analyzing Research Trends in Inorganic Materials Literature Using NLPcited by 1
  2. 2022CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognitioncited by 1
  3. 2022ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocolscited by 0
  4. 2023Towards Flow Graph Prediction of Open-Domain Procedural Textscited by 0
  5. 2024STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domainscited by 0
  6. 2026Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skillscited by 0