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Title: Name finding from free text using HMMS
Authors: Grixti, Wayne
Abela, Charlie
Montebello, Matthew
Keywords: Hidden Markov models
Intelligence service -- Technological innovations
Natural language processing (Computer science)
Semantic computing
Issue Date: 2004
Publisher: IADIS
Citation: Grixti, W., Abela, C., & Montebello, M. (2004). Name finding from free text using HMMS. 2004 WWW/Internet International Conference, Madrid.
Abstract: In this paper we design and implement a HMM to solve the Named Entity (NE) task. The NE task is used to recognize and classify names, dates, and numerical quantities, although we restrict our model to names and dates. Our results were compared with other Named Entity Recognition (NER) systems that evaluated their model based on data from the Sixth and Seventh Message Understanding Conferences (MUC-6 and MUC-7), and other domain data. We show the importance of the amount of training data available and the importance of back-off models and smoothing. Although our algorithm was not tested on a large amount of training data, performance was quite good. We evaluate our results and compare them to other related work, (Valarkos A. et al, 2003) (Bikel D. et al, 1999) (Masterson D., 1999).
ISBN: 9729935300
Appears in Collections:Scholarly Works - FacICTAI

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