Title :
Named entity recognition based on a Hidden Markov Model in part-of-speech tagging
Author :
Ageishi, Ryohei ; Miura, Takao
Author_Institution :
Dept. of Electr. & Electr. Eng., Hosei Univ., Koganei
Abstract :
In this investigation, we propose how to combine stochastis process with rule-based techniques to recognize named entity in morphological analysis. We discuss Hidden Markov Model (HMM) for tagging English texts tentatively and we focus our attention on named entity recognition. We discuss rule-based approach over n consecutive words for rule extraction and show the usefulness of our approach by some experimental results.
Keywords :
hidden Markov models; logic programming; natural language processing; text analysis; English text tagging; hidden Markov model; morphological analysis; named entity recognition; part-of-speech tagging; rule based techniques; stochastic process; Hidden Markov models; Tagging; Hidden Markov Model; Named Entity; Part-Of-Speech Tagging;
Conference_Titel :
Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the
Conference_Location :
Ostrava
Print_ISBN :
978-1-4244-2623-2
Electronic_ISBN :
978-1-4244-2624-9
DOI :
10.1109/ICADIWT.2008.4664380
