NER Research (BILSTM-CRF)
View Detail On Summary Research .xlsx
| Model | Micro F1 | Macro F1 | Weighted F1 | Training Time (Hour:Minutes:Seconds) |
Runtime | Ram | Disk | Machine |
|---|---|---|---|---|---|---|---|---|
| CRF | 77% | 77% | 77% | 0:00:13 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BILSTM | 75% | 76% | 75% | 0:06:21 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BERT | 61% | 60% | 61% | 0:22:35 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BILSTM-CRF | 87% | 86% | 86% | 0:59:04 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BERT-CRF | 58% | 57% | 58% | 1:01:40 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BERT-BILSTM | 61% | 60% | 61% | 0:25:28 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BERT-BILSTM-CRF | 60% | 59% | 60% | 1:04:07 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
RE Research (BILSTM-CRF)
View Detail On Summary Research .xlsx
| Model | Micro F1 | Macro F1 | Weighted F1 | Training Time (Hour:Minutes:Seconds) |
Runtime | Ram | Disk | Machine |
|---|---|---|---|---|---|---|---|---|
| BERT | 79% | 84% | 79% | 0:41:07 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| BILSTM-CRF | 78% | 63% | 78% | 0:52:33 | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
Websites Test
View Detail On Summary Research .xlsx
| Prediksi | Prediksi Time (Hour:Minutes:Seconds) |
Framework | Runtime | Ram | Disk | Machine |
|---|---|---|---|---|---|---|
| Named Entity Recognition (NER) | 00.00.06 | Django | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
| Relation Extraction (RE) | 00.03.01 | Django | GPU Tesla P100-PCIE-16GB | High | Google Drive 100gb | Google Colab Pro |
Predict Results
View Files Data Kalimat .xlsx
| sentences | status | plant | disease | relation |
|---|---|---|---|---|
| Public awareness about tobacco -related oral cancer is low at present, and new approaches to this problem should include education in the schools on oral cancer, formulation of legislative action to ban the sale of tobacco near schools and colleges, and imposition of societal "barriers" that would make the nonchewing of tobacco socially more acceptable than chewing it. | success | detect | detect | make relation |
| the mechanism by which magnesium affects digitalis induced arrhythmias was studied in dogs with and without beta receptor | success | detect | detect | make relation |
| these observations indicate that oral administration of green tea i p a polyphenol fraction or i p epigallocatechin gallate inhibited the growth and caused regression established experimentally induced skin papillomas | success | detect | detect | make relation |
| the lack of association nude mice tumour dna with myc ras egf r showing aberrations in primary human tumour implies activation an alternative potent transforming gene s chewing tobacco related oral carcinomas | success | detect | detect | make relation |
| ... |