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Fajri Koto
Fajri Koto
PhD Candidate, University of Melbourne
Verified email at student.unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
A comparative study on twitter sentiment analysis: Which features are good?
F Koto, M Adriani
Proceedings of the 20th NLDB 2015, 453-457, 2015
472015
SMOTE-Out, SMOTE-Cosine, and Selected-SMOTE: An Enhancement Strategy to Handle Imbalance in Data Level
F Koto
The 6th International Conference on Advanced Computer Science and …, 2014
392014
Inset lexicon: Evaluation of a word list for Indonesian sentiment analysis in microblogs
F Koto, GY Rahmaningtyas
2017 International Conference on Asian Language Processing (IALP), 391-394, 2017
372017
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP
F Koto, A Rahimi, JH Lau, T Baldwin
Proceedings of the 28th COLING 2020, 757-770, 2020
292020
A Publicly Available Indonesian Corpora for Automatic Abstractive and Extractive Chat Summarization
F Koto
The 10th International Conference on Language Resources and Evaluation (LREC), 2016
242016
HBE: Hashtag-based emotion lexicons for twitter sentiment analysis
F Koto, M Adriani
Proceedings of the 7th Forum for Information Retrieval Evaluation, 31-34, 2015
192015
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
F Koto, JH Lau, T Baldwin
Proceedings of the 1st AACL 2020, 2020
112020
The Use of POS Sequence for Analyzing Sentence Pattern in Twitter Sentiment Analysis
F Koto, M Adriani
The 29th International Conference on Advanced Information Networking and …, 2015
112015
FFCI: A framework for interpretable automatic evaluation of summarization
F Koto, T Baldwin, JH Lau
Journal of Artificial Intelligence Research 73, 1553–1607, 2022
92022
Discourse Probing of Pretrained Language Models
F Koto, JH Lau, T Baldwin
Proceedings of NAACL 2021, 2021
92021
The Use of Semantic and Acoustic Features for Open-Domain TED Talk Summarization
F Koto, S Sakti, G Neubig, T Toda, M Adriani, S Nakamura
The 6th Asia Pacific Signal and Information Processing Association (APSIPA …, 2014
82014
Top-down Discourse Parsing via Sequence Labelling
F Koto, JH Lau, T Baldwin
Proceedings of the 16th EACL 2021, 2021
72021
Method and apparatus for displaying summarized data
Y Rahman, O Abdillah, Fajri
US Patent App. 14/947,780, 2016
72016
Improved Document Modelling with a Neural Discourse Parser
F Koto, JH Lau, T Baldwin
The 17th Annual Workshop of the Australasian Language Technology Association …, 2019
52019
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
F Koto, JH Lau, T Baldwin
Proceedings of EMNLP 2021, 2021
32021
Evaluating the Efficacy of Summarization Evaluation across Languages
F Koto, JH Lau, T Baldwin
Findings of ACL 2021, 2021
32021
Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation
F Koto, I Koto
Proceedings of the 34th PACLIC 2020, 2020
22020
MEMORABLE SPOKEN QUOTE CORPORA OF TED PUBLIC SPEAKING
F Koto, S Sakti, G Neubig, T Toda, M Adriani, S Nakamura
The 17th Oriental Cocosda, 2014
22014
A Study On Natural Expressive Speech: Automatic Memorable Spoken Quote Detection
F Koto, S Sakti, G Neubig, T Toda, M Adriani, S Nakamura
The 6th International Workshop on Spoken Dialog Systems (IWSDS), Busan, Korea, 2015
12015
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?
F Koto, JH Lau, T Baldwin
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5), 234-243, 2022
2022
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