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Triplet Extraction from Sentences

This video was recorded at Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD), Ljubljana 2008. In this paper we present a machine learning approach to extract subject-predicate-object triplets from English sentences. SVM is used to train a model on human annotated triplets, and the features are computed from three parsers.

Keywords:: videolectures, ocwc, oec

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Science and Technology / Computer Science

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Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Author:: Lorand Dali, Artificial Intelligence Laboratory, Jožef Stefan Institute
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States