AUTOMATED SUMMARIZATION FOR INDONESIAN NEWS ARTICLE USING ABSTRACT MEANING REPRESENTATION
Along with the growth of online news sources, summaries have become in needs to obtain important information in shorter reading times. Summarization with Abstract Meaning Representation (AMR) has been done for the first time for Indonesian by using a rule-based AMR parser. Thus, the said AMR p...
Saved in:
Main Author: | Akhyar, Amany |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/55526 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
ABSTRACTIVE SUMMARIZATION USING GENETIC SEMANTIC GRAPH FOR INDONESIAN NEWS ARTICLES
by: Sidney Devianti, Rachel -
MULTIDOCUMENT ABSTRACTIVE SUMMARIZATION USING ABSTRACT MEANING REPRESENTATION FOR INDONESIAN LANGUAGE
by: Severina, Verena -
INDONESIAN NEWS ABSTRACTIVE SUMMARIZATION USING PEGASUS
by: Anthony -
RULE-BASED TEXT SIMPLIFICATION FOR EXTRACTIVE AUTOMATIC SUMMARIZATION OF NEWS ARTICLES IN INDONESIAN
by: Abdi Haryadi. H, M. -
OPTIMIZATION FOR MACHINE LEARNING BASED EXTRACTIVE SUMMARIZATION USING REINFORCEMENT LEARNING ON THE INDONESIAN NEWS ARTICLES
by: Zia Davida, Bethea