indonlu
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
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Download Latest Version (.zip)- ISSUE_TEMPLATE.md
- PULL_REQUEST_TEMPLATE.md
- aspect_based_sentiment_analysis.ipynb
- aspect_extraction_data_util.ipynb
- ner_data_utils.ipynb
- postag_data_utils.ipynb
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.csv
- test_preprocess_masked_label.csv
- train_preprocess.csv
- valid_preprocess.csv
- vocab.txt
- vocab_uncased.txt
- test_preprocess.csv
- test_preprocess_masked_label.csv
- train_preprocess.csv
- valid_preprocess.csv
- vocab.txt
- vocab_uncased.txt
- test_preprocess.csv
- test_preprocess_masked_label.csv
- train_preprocess.csv
- valid_preprocess.csv
- vocab.txt
- vocab_uncased.txt
- test_preprocess.csv
- test_preprocess_masked_label.csv
- train_preprocess.csv
- valid_preprocess.csv
- vocab.txt
- vocab_uncased.txt
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.tsv
- test_preprocess_masked_label.tsv
- train_preprocess.tsv
- valid_preprocess.tsv
- vocab.txt
- vocab_uncased.txt
- test_preprocess.txt
- test_preprocess_masked_label.txt
- train_preprocess.txt
- valid_preprocess.txt
- vocab.txt
- vocab_uncased.txt
- test_preprocess.csv
- test_preprocess_masked_label.csv
- train_preprocess.csv
- valid_preprocess.csv
- vocab.txt
- vocab_uncased.txt
- finetune_casa.ipynb
- finetune_emot.ipynb
- finetune_fasttext_casa.ipynb
- finetune_ner_grit.ipynb
- finetune_smsa.ipynb
- finetune_wrete.ipynb
- requirements.txt
- multi_label_classification.py
- word_classification.py
- absa-airy_test.csv
- absa-prosa_test.csv
- doc-sentiment_test.csv
- emotion-twitter_test.csv
- entailment-ui_test.csv
- keyword-extraction-prosa_test.csv
- ner-grit_test.csv
- ner-prosa_test.csv
- pos-idn_test.csv
- pos-prosa_test.csv
- qa-factoid-itb_test.csv
- term-extraction-airy_test.csv
- backprop.png
- bag_of_word.png
- bert_pretraining.png
- chain_rule.png
- cnn.png
- fasttext.png
- finetune_smsa_tutorial.ipynb
- gradient_descent.png
- indonlu_result.png
- logistic_regression.png
- mlp.png
- rnn.png
- tf_idf.png
- transformer.png
- why_transformer.png
- word_vector.png
- args_helper.py
- conlleval.py
- data_utils.py
- forward_fn.py
- functions.py
- metrics.py
- .gitignore
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
- main.py
- predict.py
- predict.sh
- README.id.md
- README.md
- requirements.txt
- run_all_tasks.sh
- run_single_task.sh
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