@inproceedings{tamari-etal-2021-process,
    title = "Process-Level Representation of Scientific Protocols with Interactive Annotation",
    author = "Tamari, Ronen  and
      Bai, Fan  and
      Ritter, Alan  and
      Stanovsky, Gabriel",
    editor = "Merlo, Paola  and
      Tiedemann, Jorg  and
      Tsarfaty, Reut",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.eacl-main.187/",
    doi = "10.18653/v1/2021.eacl-main.187",
    pages = "2190--2202",
    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."
}