AMR-TO-TEXT GENERATION FOR INDONESIAN LANGUAGE USING PRETRAINED LANGUAGE MODEL AND ITS APPLICATION FOR TEXT SUMMARIZATION
AMR-to-text generation is the process of generating text from Abstract Meaning Representation (AMR) graph. In Indonesian AMR-based text summarization, the text generation process usually uses Simple NLG which has the disadvantage that the generated text is only in a form of bag of words. Therefor...
Saved in:
Main Author: | Husada Daryanto, Taufiq |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/66591 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
ADVERSARIAL ROBUSTNES TESTING ON PRETRAINED LANGUAGE MODEL IN TEXT CLASSIFICATION
by: Farid Adilazuarda, Muhammad -
EXTRACTIVE SUMMARIZATION WITH SENTENCE-BERT TEXT ENCODER AND REINFORCEMENT LEARNING FOR INDONESIAN LANGUAGE TEXT
by: Denaya Rahadika Diana, Kadek -
APPLICATION OF BERTOPIC ON BERTSUM MODEL FOR INDONESIAN ABSTRACTIVE TEXT SUMMARIZATION
by: Satya Putra Mahendra, Farrel -
Model-driven smart contract generation leveraging pretrained large language models
by: Jiang, Qinbo
Published: (2024) -
SENTIMENT ANALYSIS IN SUNDANESE USING PRETRAINED MULTILINGUAL LANGUAGE MODEL
by: Permana, Hadi