Trained RNNs (LSTM) that are used in predicting how Orbital Elements will evolve in time, using only a fraction of the computational power of numerical methods.

codes for paper A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

LSTM+CRF NER

在原本BERT-BILSTM-CRF上融合GCN和词性标签等做NER任务

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

《Python深度学习》书籍代码

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Baidu's open-source Sentiment Analysis System.

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

本项目采用Keras和Keras-bert实现英语序列标注，其中对BERT进行微调。

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

Sequence Tagger implementation

PyTorch implementation of BiLSTM-CRF and Bi-LSTM-CNN-CRF models for named entity recognition.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

BiLSTM-CNN-CRF tagger

Named Entity Recognition (LSTM + CRF) - Tensorflow

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Collection of memory research for game "‎Sangokushi XI Power-up Kit"(san11pk) by KOEI. Extremely helpful in making game modifiers.

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力