Abstract
This paper presents an experience in the area of information extraction within the framework of the on-going research ESPRIT IV project FLEX. The work presented is part of a larger effort aimed at building the first prototype of a flexible information system and it has consisted in the detection and extraction of named entities from a collection of newspaper articles. Although name extraction has received the attention of the Information Extraction research community from the beginning, this attention has been recently increased by the inclusion of a Named Entity task both in the Seventh Message Understanding Conference [1] and the Information Retrieval and Extraction Exercise [2]. The work presented is a practical application of techniques discussed and developed in recent years by the Information Extraction community. Besides that practical application, the results obtained serve for validating our overall approach to cost-effective, re-usable information extraction in the context of a viable, marketable system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
