Abstract
State of the art research for date-time entity extraction from text is task agnostic. Consequently, while the methods proposed in literature perform well for generic date-time extraction from texts, they don’t fare as well on task specific date-time entity extraction where only a subset of the date-time entities present in the text are pertinent to solving the task. Furthermore, some tasks require identifying negation constraints associated with the date-time entities to correctly reason over time. We showcase a novel model for extracting task-specific date-time entities along with their negation constraints. We show the efficacy of our method on the task of date-time understanding in the context of scheduling meetings for an email-based digital AI scheduling assistant. Our method achieves an absolute gain of 19% f-score points compared to baseline methods in detecting the date-time entities relevant to scheduling meetings and a 4% improvement over baseline methods for detecting negation constraints over date-time entities.- Anthology ID:
- 2020.emnlp-main.678
- Volume:
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 8445–8455
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.emnlp-main.678/
- DOI:
- 10.18653/v1/2020.emnlp-main.678
- Cite (ACL):
- Barun Patra, Chala Fufa, Pamela Bhattacharya, and Charles Lee. 2020. To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8445–8455, Online. Association for Computational Linguistics.
- Cite (Informal):
- To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints (Patra et al., EMNLP 2020)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.emnlp-main.678.pdf