中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific word unit.

Named Entity Recognition with Bidirectional LSTM-CNNs

Phrase Extraction using Bi Directional LSTM

Implementation of sentence comparison model using inner attention

Implement RNNs by PyTorch for automatic POS tagging

Bidirectional LSTM for dependency parsing in python: Disjoint predictions and complete classification accuracy in automated dependency parsing

Sleep stage classification using BCG-based pressure signals and residual-biLSTM networks

Image Captioning using CNN-RNN architecture made with ❤️ in Pytorch. Do 🌟 he repo if you find it useful 🚀

Extract information from Navtex data using deep learning

Detecting hate speech in tweets using bag-of-trick models and bi-LSTM networks.

POS problem with BiLSTM algorithm on Tensorflow 1.xx, language: Vietnamese , backend web with Flask

Implementation of LSTM, Bi-LSTM, GRU models for protein sequence classification.

Reproducing the results of the paper, Zampieri, Marcos et. al. - "Predicting the Type and Target of Offensive Posts in Social Media". Fine Tuning a BERT model to beat the baseline results.

testrepo

Named Entity Recognition (LSTM + CRF) - Tensorflow

Authorship Identification for Reuters C50-50 dataset. Comparision between LSTM, GRU, Bi-LSTM models and also highlights use of 50 different stylometry features for classification.

To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description

NER with Bi-LSTM-CRF

Sentiment analysis using IMDb movie reviews dataset