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1
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia ...
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Evaluating the Efficacy of Summarization Evaluation across Languages ...
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IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.833/ Abstract: We present IndoBERTweet, the first large-scale pretrained model for Indonesian Twitter that is trained by extending a monolingually-trained Indonesian BERT model with additive domain-specific vocabulary. We focus in particular on efficient model adaptation under vocabulary mismatch, and benchmark different ways of initializing the BERT embedding layer for new word types. We find that initializing with the average BERT subword embedding makes pretraining five times faster, and is more effective than proposed methods for vocabulary adaptation in terms of extrinsic evaluation over seven Twitter-based datasets. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37902-indobertweet-a-pretrained-language-model-for-indonesian-twitter-with-effective-domain-specific-vocabulary-initialization
https://dx.doi.org/10.48448/g7tk-tb36
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Evaluating the Efficacy of Summarization Evaluation across Languages ...
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5
Liputan6: A Large-scale Indonesian Dataset for Text Summarization ...
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6
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP ...
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IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP ...
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8
Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation ...
Koto, Fajri; Koto, Ikhwan. - : arXiv, 2020
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