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