Explanation Based-Learning Framework for Information Extraction
| Main Authors: | Muludi, Kurnia, Kuspriyanto, Kuspriyanto, Santoso, Oerip, Widyantoro, Dwi |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Terbitan: |
ITS
, 2009
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| Subjects: | |
| Online Access: |
http://repository.unila.ac.id/823/1/icts_2009_B19.pdf http://icts.if.its.ac.id/openaccess/2009/ http://repository.unila.ac.id/823/ |
Daftar Isi:
- The rapid growth of internet causes the abundance of textual information. It is necessary to have smart tools and methods than can access text content as needed. Machine learning techniques have been used successfully for generating extraction rules for information extraction, but most of them are depend heavily on the availability of annotated training corpus. Development of training corpus is time consuming and expensive. Learning model that need less training examples is needed. Explanation based-learning (EBL) has been implemented for decade in other areas but not in information extraction. EBL has advantage need less training example but needs domain theory knowledge. In this paper we propose an EBL framework for information extraction.