Relation extraction for Filipino disaster-related news domain using deep learning / Anna Elizabeth A. Alvarez, Pamela E. Combis, Treena Mareh E. Egia, and Paul A. Ulanday,
Material type:
- UGT CCIT BSCS .A48 2018

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National University - Manila | LRC - Main Thesis | Computer Science | UGT CCIT BSCS .A48 2018 c.1 (Browse shelf(Opens below)) | c.1 | Available | UGTHE000001447 |
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Research Method : Descriptive Method.
Includes bibliographical references.
Title page -- Endorsement Letter -- Approval Sheet -- Panel Recommendation -- Certificate of Grammar Checked -- Acknowledgement -- Abstract -- Table of contents -- List of tables -- List of figures -- Chapter 1. Introduction -- Chapter 2. Review of related literature and studies -- Chapter 3. Design and Methodology -- Chapter 4.Data analysis, and interpretation of data -- Chapter 5. Summary, Conclusion, and recommendation -- References -- Appendices.
Relationship Extraction is an interesting topic in NLP. The idea of it is to link two entities such as people, organizations, and locations in unstructured text sources. It will help you towards automatically discovering relations from large databases of text, including that from internet web pages. Making an RE method is a way to define the relationship between two named entities in the Filipino language.
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