Document Type
Conference Proceeding
Publication Title
Proceedings of the Annual Meeting of the Association for Computational Linguistics
Abstract
Procedural text contains rich anaphoric phenomena, yet has not received much attention in NLP. To fill this gap, we investigate the textual properties of two types of procedural text, recipes and chemical patents, and generalize an anaphora annotation framework developed for the chemical domain for modeling anaphoric phenomena in recipes. We apply this framework to annotate the RecipeRef corpus with both bridging and coreference relations. Through comparison to chemical patents, we show the complexity of anaphora resolution in recipes. We demonstrate empirically that transfer learning from the chemical domain improves resolution of anaphora in recipes, suggesting transferability of general procedural knowledge.
First Page
3481
Last Page
3495
DOI
10.18653/v1/2022.findings-acl.275
Publication Date
5-22-2022
Recommended Citation
B. Fang, T. Baldwin, and K. Verspoor, “What does it take to bake a cake? the RECIPEREF corpus and Anaphora resolution in procedural text,” Findings of the Association for Computational Linguistics: ACL 2022, 2022. doi:10.18653/v1/2022.findings-acl.275
Additional Links
Publisher's link: http://dx.doi.org/10.18653/v1/2022.findings-acl.275
Comments
Open Access version available on ACL
Archived with thanks to ACL
License: CC by 4.0
Uploaded 16 November 2023