| flairNLP/flair |
13,369 |
|
24 |
69 |
about 2 years ago |
31 |
October 28, 2023 |
65 |
other |
Python |
| A very simple framework for state-of-the-art Natural Language Processing (NLP) |
| BrikerMan/Kashgari |
2,141 |
|
1 |
1 |
almost 5 years ago |
11 |
October 18, 2019 |
32 |
apache-2.0 |
Python |
| Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding. |
| jiesutd/NCRFpp |
1,862 |
|
0 |
0 |
almost 4 years ago |
1 |
March 16, 2022 |
5 |
apache-2.0 |
Python |
| NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. |
| Hironsan/anago |
1,428 |
|
5 |
1 |
about 4 years ago |
14 |
July 17, 2018 |
43 |
mit |
Python |
| Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on. |
| CLUEbenchmark/CLUENER2020 |
1,359 |
|
0 |
0 |
over 3 years ago |
0 |
|
48 |
|
Python |
| CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition |
| luopeixiang/named_entity_recognition |
1,118 |
|
0 |
0 |
almost 5 years ago |
0 |
|
27 |
|
Python |
| 中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现） |
| chakki-works/seqeval |
866 |
|
42 |
165 |
over 3 years ago |
24 |
October 24, 2020 |
23 |
mit |
Python |
| A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) |
| LiyuanLucasLiu/LM-LSTM-CRF |
830 |
|
0 |
0 |
almost 4 years ago |
0 |
|
18 |
apache-2.0 |
Python |
| Empower Sequence Labeling with Task-Aware Language Model |
| grammarly/gector |
680 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21) |
| scofield7419/sequence-labeling-BiLSTM-CRF |
605 |
|
0 |
0 |
almost 5 years ago |
0 |
|
6 |
gpl-3.0 |
JavaScript |
| The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable. |
