LSTM-CRF in PyTorch
Deep neural models for core NLP tasks (Pytorch version)
slot filling, intent detection, joint training, ATIS & SNIPS datasets, t...
a Deep Learning Framework for Text
A Japanese tokenizer based on recurrent neural networks
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence U...
序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER...
multi_task_NLP is a utility toolkit enabling NLP developers to easily tr...
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyT...
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://ac...
LSTM+CRF NER
Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的...
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured P...
Hierarchically-Refined Label Attention Network for Sequence Labeling
RNNSharp is a toolkit of deep recurrent neural network which is widely u...