| leerumor/nlp_tutorial |
1,309 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
|
|
| NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧 |
| jiesutd/LatticeLSTM |
1,018 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
|
Python |
| Chinese NER using Lattice LSTM. Code for ACL 2018 paper. |
| wavewangyue/ner |
350 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
|
Python |
| 命名实体识别实践与探索 |
| UKPLab/acl2017-neural_end2end_am |
56 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
other |
Python |
| Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining |
| LeeSureman/Batch_Parallel_LatticeLSTM |
52 |
|
0 |
0 |
almost 6 years ago |
0 |
|
11 |
|
Python |
| Chinese NER using Lattice LSTM. Reproduction for ACL 2018 paper. |
| ningshixian/NER-CONLL2003 |
29 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
|
Python |
| Entity recognition of CONLL2003 corpus using Keras |
| clab/lstm-parser-with-morphology |
9 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| wangjksjtu/multi-embedding-cws |
8 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Multiple Character Embeddings for Chinese Word Segmentation, ACL 2019 |
| lonePatient/BERT-Attribute-Value-Extract |
7 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Python |
| A Pytorch implementation of "Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title" (ACL 2019). |
| badripatro/Visual_Question_Generation |
7 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
gpl-3.0 |
Lua |
| Torch code for Visual Question Generation |
