model_readme.md

PyABSA - Open Framework for Aspect-based Sentiment Analysis

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| Overview | HuggingfaceHub | ABDADatasets | ABSA Models | Colab Tutorials |

Our Models for ABSA

ATEPC

1. LCF-ATEPC
2. LCF-ATEPC-LARGE (Dual BERT)
3. FAST-LCF-ATEPC
4. LCFS-ATEPC
5. LCFS-ATEPC-LARGE (Dual BERT)
6. FAST-LCFS-ATEPC
7. BERT-BASE

APC

Bert-based APC models

1. LSA-T (Faster & Performs Better than LCF/LCFS-BERT)
2. LSA-S (Faster & Performs Better than LCF/LCFS-BERT)
3. Fast-LSA-T (Faster & Performs Better than LCF/LCFS-BERT)
4. Fast-LSA-S (Faster & Performs Better than LCF/LCFS-BERT)
5. LCF-BERT (Reimplemented & Enhanced)
6. LCFS-BERT (Reimplemented & Enhanced)
7. FAST-LCF-BERT (Faster with slightly performance loss)
8. FAST_LCFS-BERT (Faster with slightly performance loss)
9. LCF-DUAL-BERT (Dual BERT)
10. LCFS-DUAL-BERT (Dual BERT)
11. BERT-BASE
12. BERT-SPC
13. LCA-Net
14. DLCF-DCA-BERT *

Bert-based APC baseline models

1. AOA_BERT
2. ASGCN_BERT
3. ATAE_LSTM_BERT
4. Cabasc_BERT
5. IAN_BERT
6. LSTM_BERT
7. MemNet_BERT
8. MGAN_BERT
9. RAM_BERT
10. TD_LSTM_BERT
11. TC_LSTM_BERT
12. TNet_LF_BERT

GloVe-based APC baseline models

1. AOA
2. ASGCN
3. ATAE-LSTM
4. Cabasc
5. IAN
6. LSTM
7. MemNet
8. MGAN
9. RAM
10. TD-LSTM
11. TD-LSTM
12. TNet_LF