Abstract
We present LightRel, a lightweight and fast relation classifier. Our goal is to develop a high baseline for different relation extraction tasks. By defining only very few data-internal, word-level features and external knowledge sources in the form of word clusters and word embeddings, we train a fast and simple linear classifier- Anthology ID:
- S18-1123
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 778–782
- Language:
- URL:
- https://aclanthology.org/S18-1123
- DOI:
- 10.18653/v1/S18-1123
- Cite (ACL):
- Tyler Renslow and Günter Neumann. 2018. LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 778–782, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification (Renslow & Neumann, SemEval 2018)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/S18-1123.pdf
- Data
- SemEval-2010 Task-8