Domain Adapted Atsc
code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sentiment_analysis_fine_grain | 504 | 5 years ago | 8 | Jupyter Notebook | ||||||
| Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger | ||||||||||
| Happy Transformer | 449 |  | 5 | 8 months ago | 23 | August 05, 2023 | 15 | apache-2.0 | Python | |
| Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models. | ||||||||||
| Kobart | 320 | 2 years ago | 1 | other | Python | |||||
| Korean BART | ||||||||||
| Indic Bert | 253 | a year ago | 13 | mit | Python | |||||
| BERT-based Multilingual Model for Indian Languages | ||||||||||
| Mead Baseline | 245 | 6 months ago | 11 | apache-2.0 | Python | |||||
| Deep-Learning Model Exploration and Development for NLP | ||||||||||
| Lotclass | 231 | 2 years ago | apache-2.0 | Python | ||||||
| [EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach | ||||||||||
| Parsbert | 222 | a year ago | 6 | apache-2.0 | Jupyter Notebook | |||||
| 🤗 ParsBERT: Transformer-based Model for Persian Language Understanding | ||||||||||
| Thai2fit | 169 | 3 years ago | 1 | mit | Jupyter Notebook | |||||
| ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP | ||||||||||
| Domain Adapted Atsc | 128 | 3 years ago | 5 | mit | Python | |||||
| code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification" | ||||||||||
| Deep_learning_in_python_2018 | 114 | a year ago | 1 | Jupyter Notebook | ||||||
| Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation. | ||||||||||
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Domain Adaptation