DocumentCode :
2113290
Title :
Markov-Based Automatic Term Extraction
Author :
Zhou, Zili ; Wang, Yanna ; Gu, Junzhong
Author_Institution :
Comput. Sci. & Technol. Dept., East China Normal Univ., Shang Hai
fYear :
2008
fDate :
18-18 Dec. 2008
Firstpage :
86
Lastpage :
89
Abstract :
This paper presents an automatic term extraction method based on Markov process. The method aims to extract multi-word domain terms from English corpora. The paper proves that the extracting term process is a Markov chain firstly, and then gives the steps of the Markov-based method. In order to evaluate our method, we use a corpus related to computer science got by Web crawlers, and extract domain terms by methods introduced in the paper. The experiment data shows that our method out performs other methods.
Keywords :
Markov processes; information retrieval; English corpora; Markov chain; Markov process; Markov-based automatic term extraction; Web crawlers; multi-word domain term; Biomedical engineering; Computer science; Data mining; Educational institutions; Humans; Mutual information; Ontologies; Paper technology; Physics; Statistics; Markov; term extraction; transition probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3561-6
Type :
conf
DOI :
10.1109/FBIE.2008.84
Filename :
5076692
Link To Document :
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