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Process-Level Representation of Scientific Protocols with Interactive Annotation

2021-01-25 17:18:20
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
arXiv_CL
         
Abstract

We develop Process Execution Graphs~(PEG), a document-level representation of real-world wet lab biochemistry protocols, addressing challenges such as cross-sentence relations, long-range coreference, grounding, and implicit arguments. We manually annotate PEGs in a corpus of complex lab protocols with a novel interactive textual simulator that keeps track of entity traits and semantic constraints during annotation. We use this data to develop graph-prediction models, finding them to be good at entity identification and local relation extraction, while our corpus facilitates further exploration of challenging long-range relations.

Abstract (translated)

URL

https://arxiv.org/abs/2101.10244

PDF

https://arxiv.org/pdf/2101.10244.pdf

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