Abstract
This tutorial examines the role of Wikipedia in tasks related to text analysis and retrieval. Text analysis tasks, which take advantage of Wikipedia, include coreference resolution, word sense and entity disambiguation and information extraction. In information retrieval, a better understanding of the structure and meaning of queries helps in matching queries against documents, clustering search results, answer and entity retrieval and retrieving knowledge panels for queries asking about popular entities.- Anthology ID:
- P19-4005
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24
- Language:
- URL:
- https://aclanthology.org/P19-4005
- DOI:
- 10.18653/v1/P19-4005
- Cite (ACL):
- Marius Pasca. 2019. Wikipedia as a Resource for Text Analysis and Retrieval. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, page 24, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Wikipedia as a Resource for Text Analysis and Retrieval (Pasca, ACL 2019)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/P19-4005.pdf