Tech Report

Event Recognition using Information Extraction Techniques

This paper describes a system which recognizes events on stories. Our system classifies stories and populates a KMi Planet ontology with new instances of classes defined in it. Currently, the system recognizes events which can be classified as belonging to a single category and it also recognizes overlapping events (more than one event is recognized in the story). In each case, the system provides a confidence value associated to the suggested classification. In our event recognition system we use Information Extraction and Machine Learning technologies. We have tested this system using an archive of stories describing the academic life of our institution (these stories describe events such as an project award, publications, visits, etc.)

ID: kmi-03-10

Date: 2003

Author(s): Maria Vargas-Vera, David Celjuska

Resources:
Download PDF

View By

Other Publications

Jobs

Research Asst / Assoc for Blockchain Learning Verification

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract for 18 months

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the IoC project & how blockchains can be used to store student accreditation and lifelong learning records in order to enhance employability. The Open University leads the IoC's first theme on university learning, which aims to influence computer science...

Research Asst / Assoc for Mainstreaming Learning Analytics

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st March 2021

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the IoC project & how we can adapt, deploy and mainstream our learning analytics tool across a number of educational establishments nationally. The Open University leads the IoC's first theme on university learning, which aims to influence computer...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team