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.
| Original language | English |
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| Title of host publication | 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 |
| Number of pages | 13 |
| ISBN (Electronic) | 9781954085022 |
| State | Published - 2021 |
| Event | 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 - Virtual, Online Duration: 19 Apr 2021 → 23 Apr 2021 |
Publication series
| Name | EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference |
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Conference
| Conference | 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 |
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| City | Virtual, Online |
| Period | 19/04/21 → 23/04/21 |
Bibliographical note
Publisher Copyright:© 2021 Association for Computational Linguistics