Pytesseract OCR model to identify texts. Incorporated a pre-trained Named Entity Recognition (NER) model to extract entities from the identified texts, interpreted the information by text mining and web searches to collect auxiliary information.

Python Polyglot Web Service

AI Competition in nature language processing and deep learning

中文命名实体识别-校企实验室项目

A BERT-based Chinese Text Encoder Enhanced by N-gram Representations

Course offered by Udemy. Created and taught by Jose Portilla.

ner + bert + crf

using bilstm-crf,bert and other methods to do sequence tagging task

Named-entity recognition corpora for multilingual voice recognition in the music industry based on the Million Musical Tweets dataset

Use of Transformers for NLP tasks

chinese-sequence-ner多模型中文命名实体识别

A simple chatbot which responds Yes or No for the questions asked regarding train numbers,names and routes based on a dataset using SpaCy and Flask.

Repository to product NER models with BERT

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models CRF

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BILSTM

Annotate Entities from Medical Reports

A custom NER model to detect phrases from text. Evaluation was done by computing f-scores and visualizing a confusion matrix.

In this repo, SpaCy is used for entity extraction and categorization. We are customizing spacy to extract entities from the data. At the end, entities are categorized and similarity scores are calculated.