Process-Level Representation of Scientific Protocols with Interactive Annotation

Code

• github.com/bflashcp3f/textlabs-xwlp-code
  Officialpytorch★ 7
• github.com/ronentk/textlabs-xwlp-data
  Officialnone★ 3

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.

Tasks

Reproductions