@inproceedings{8275c5a9312e4f8faca044e90b750760,
title = "Process-level representation of scientific protocols with interactive annotation",
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.",
author = "Ronen Tamari and Fan Bai and Alan Ritter and Gabriel Stanovsky",
note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics; 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 ; Conference date: 19-04-2021 Through 23-04-2021",
year = "2021",
doi = "10.18653/v1/2021.eacl-main.187",
language = "الإنجليزيّة",
series = "EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "2190--2202",
booktitle = "EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference",
address = "الولايات المتّحدة",
}