DocumentCode :
3318125
Title :
Hybrid framework for information extraction for geographical terms in Hindi language texts
Author :
Dutta, Kamlesh ; Prakash, Nupur ; Kaushik, Saroj
Author_Institution :
Nat. Inst. of Technol., Hamirpur, India
fYear :
2005
fDate :
30 Oct.-1 Nov. 2005
Firstpage :
577
Lastpage :
581
Abstract :
A hybrid information extraction (IE) framework based on geographical term detection approach has been developed to extract geographical information from an unrestricted Hindi text. The relationship between geographical entities extracted with the adjacent text is shown graphically so that information about these entities can be related. The system, a combination of statistically and linguistically motivated techniques, identifies single geographical names and multiple geographical names as well. The method is applied on Hindi language text, but the approach can be adapted for other languages also. The paper presents some experiments illustrating the accuracy of the method. The system being developed is in a prototype stage and will be extended to include relation mark-up as well.
Keywords :
geography; grammars; information retrieval; linguistics; natural languages; text analysis; Hindi language texts; geographical term detection; grammars; information extraction; linguistics; statistical techniques; Biological materials; Biology; Biomedical materials; Biomedical monitoring; Data mining; Finance; Internet; Natural languages; Prototypes; Research and development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
Type :
conf
DOI :
10.1109/NLPKE.2005.1598803
Filename :
1598803
Link To Document :
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