Publications
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK
Abstract
The most common Named Entity Recognizers are usually sequence taggers trained on fully annotated corpora, ie the class of all words for all entities is known. Partially annotated corpora, ie some but not all entities of some types are...
- Date
- June 30, 2019
- Authors
- Yixiang Yao, Pedro Szekely, Jay Pujara
- Conference
- Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets
- Pages
- 11
- Publisher
- ACM