Proceedings of the 18th International Conference on Information Technology Interfaces (ITI’96), June 18–21 1996, Pula.
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 different kinds of financial activities have been identified: company related activities, company restructuring activities and general macroeconomic activities, which form the basis of the “financial activities” approach taken in the development of the LOLITA financial information extraction application. After describing LOLITA as a general purpose base NLP system, the paper addresses the issue of how information extraction is performed within the system.
How to cite
Marco Costantino, Russell J. Collingham, Richard G. Morgan (1996). Information Extraction in the LOLITA System using Templates from Financial News Articles. Proceedings of the 18th International Conference on Information Technology Interfaces (ITI’96), June 18–21 1996, Pula.
BibTeX entry for reference managers (EndNote, Zotero, Mendeley)
@inproceedings{costantino1996information,
title = {Information Extraction in the LOLITA System using Templates from Financial News Articles},
author = {Marco Costantino and Russell J. Collingham and Richard G. Morgan},
year = {1996},
booktitle = {18th International Conference on Information Technology Interfaces (ITI 1996)},
url = {https://www.advanced-finance.com/paper-information-extraction-lolita-financial-news-iti96.html}
}