000			01685nam a2200217Ia 4500
003			NULRC
005			20250725162620.0
008			250725s9999 xx 000 0 und d
040			_clcc
050			_aUGT CCIT BSCS .A48 2018
100			_aAlvarez, Anna Elizabeth A. _eauthor
245		0	_aRelation extraction for Filipino disaster-related news domain using deep learning / _cAnna Elizabeth A. Alvarez, Pamela E. Combis, Treena Mareh E. Egia, and Paul A. Ulanday,
260			_aManila : _bNational University, _c2018
300			_a50 leaves ; _c28 cm.
500			_aResearch Method : Descriptive Method.
504			_aIncludes bibliographical references.
505			_aTitle 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.
520			_aRelationship 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.
700			_aCombis, Pamela E. ;Egia, Treena Mareh E. ;Ulanday, Paul A. _eco-author;co-author;co-author
942			_2lcc _cTHESIS
999			_c24208 _d24208