CIT — Journal of Computing and Information Technology, Vol. 4, No. 4, December 1996, pages 241–255.
Abstract
This paper addresses the issue of information extraction in the financial domain within the framework of a large Natural Language Processing system: LOLITA. The LOLITA system (Large-scale Object-based Linguistic Interactor Translator and Analyser) is a general purpose natural language processing system. Different kinds of applications have been built around the system’s core. One of these is the financial information extraction application, which has been designed in close contact with experts from the financial market in order to overcome the lack of usefulness of many other systems. Three pre-defined groups of templates have been built according to the “financial activities approach”: company related templates, company restructuring templates and general macroeconomic templates. In addition, the user-definable template interface allows the user to define new templates using natural language sentences. After describing LOLITA as a general purpose base NLP system, the paper addresses the issue of how information extraction is performed within the system and how the user-definable template interface has been designed.
How to cite
Marco Costantino, Richard G. Morgan, Russell J. Collingham (1996). Financial Information Extraction using Pre-defined and User-definable Templates in the LOLITA System. CIT — Journal of Computing and Information Technology, Vol. 4, No. 4, December 1996, pages 241–255.
BibTeX entry for reference managers (EndNote, Zotero, Mendeley)
@article{costantino1996financial,
title = {Financial Information Extraction using Pre-defined and User-definable Templates in the LOLITA System},
author = {Marco Costantino and Richard G. Morgan and Russell J. Collingham},
year = {1996},
journal = {Journal of Computing and Information Technology},
volume = {4},
number = {4},
pages = {241--255},
url = {https://www.advanced-finance.com/paper-financial-information-extraction-lolita-cit96.html}
}