COMMONSENSE KNOWLEDGE EXTRACTION FOR PERSIAN LANGUAGE: A COMBINATORY APPROACH

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MORADI MEHDI; VAZIRNEZHAD BAHRAM; BAHRANI MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Information Processing & Management Year:2015 | Volume:31 | Issue:1 (83) Page(s): 113-127

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Title

COMMONSENSE KNOWLEDGE EXTRACTION FOR PERSIAN LANGUAGE: A COMBINATORY APPROACH

Author(s)

MORADI MEHDI | VAZIRNEZHAD BAHRAM | BAHRANI MOHAMMAD | Issue Writer Certificate

Keywords

COMMONSENSE KNOWLEDGEQ2

ONTOLOGYQ1

RELATION EXTRACTIONQ2

Abstract

The Putting human COMMONSENSE KNOWLEDGE into computers has always been a long standing dream of artificial intelligence (AI). The cost of several tens of millions of dollars and time have been covered so that the computers could know about “objects falling, not rising.”, “running is faster than walking”. The large database was built, automated and semi-automated methods were introduced and volunteers’ efforts were utilized to achieve this, but an automated, high-throughput and low-noise method for commonsense collection still remains as the holy grail of AI.The aim of this study was to build COMMONSENSE KNOWLEDGE ONTOLOGY using three approaches namely Hearst method, machine translation and using structured resources. Using three Persian corpuses and applying aforementioned methods, we could extract 7 different relations. Seventy thousand assertions have been extracted. Finally, average accuracy of Hearst, MT and structured resource were 75 per cent, 75 per cent and 100 per cent respectively.

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References

EXTRACTING CONCEPTUAL KNOWLEDGE FROM TEXT: USING LINGUISTIC AND SEMANTIC TEMPLATES

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APA: Copy

MORADI, MEHDI, VAZIRNEZHAD, BAHRAM, & BAHRANI, MOHAMMAD. (2015). COMMONSENSE KNOWLEDGE EXTRACTION FOR PERSIAN LANGUAGE: A COMBINATORY APPROACH. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 31(1 (83)), 113-127. SID. https://sid.ir/paper/131138/en

Vancouver: Copy

MORADI MEHDI, VAZIRNEZHAD BAHRAM, BAHRANI MOHAMMAD. COMMONSENSE KNOWLEDGE EXTRACTION FOR PERSIAN LANGUAGE: A COMBINATORY APPROACH. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2015;31(1 (83)):113-127. Available from: https://sid.ir/paper/131138/en

IEEE: Copy

MEHDI MORADI, BAHRAM VAZIRNEZHAD, and MOHAMMAD BAHRANI, “COMMONSENSE KNOWLEDGE EXTRACTION FOR PERSIAN LANGUAGE: A COMBINATORY APPROACH,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 31, no. 1 (83), pp. 113–127, 2015, [Online]. Available: https://sid.ir/paper/131138/en

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