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• W3154451896 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." @default.
• W3154451896 created "2021-04-26" @default.
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• W3154451896 date "2021-01-01" @default.
• W3154451896 modified "2023-10-16" @default.
• W3154451896 title "Process-Level Representation of Scientific Protocols with Interactive Annotation" @default.
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• W3154451896 doi "https://doi.org/10.18653/v1/2021.eacl-main.187" @default.
• W3154451896 hasPublicationYear "2021" @default.
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