Developer friendly Natural Language Processing ✨

基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.

ANETAC: Arabic Named Entity Transliteration and Classification Dataset

Tool for slot extraction from text

Data for the HIPE 2022 shared task.

Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.

Project to extract entities from Job Description Articles.

Contains a Keras Bi-LSTM for Named Entity Recognition (This example demonstrates how you can use Kubeflow to train and deploy a Keras model with a custom prediction routine).

Making a custom entity extraction model using spacy 3.5 using both conventional and transformer background. I will also try the spancat pipepline along with the ner.

Sample Recruitment Bot for Oracle Digital Assistant

A node binding for the MIT Information Extraction library.

NLP classification models built using intimate partner violence news articles

The tool for converting Edo era's Japanese business records (titles) into named entities. For this purpose, you need to make a user dictionary of Mecab.

Master Thesis Code