NER toolkit for HTML data

[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.

This is a little Annotator tool using browser；这是一个基于浏览器运行的中文三元组（命名实体识别和关系分类）联合标注工具

An NER tool for ancient place names based on Pleiades and Spacy.

this is a Manual Named-Entities/Part-of-speech Tagger for Spacy, You can use it to create your own training datasets.

LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings

Visualizations of common NLP tasks

A GUI for training MITIE NER models

This API grew out of (one of) my frustrations as a Chinese student. When I read the newspaper, I know most of the important characters, but I often don't know proper nouns, such as peoples' names, cities, company names, and so on. This API uses a pre-trained spacy model to identify and label proper nouns in English or Chinese texts. It also prov…

A Flask app to extract named entities and visualize dependencies for an input text.

My solutions for excercises in topics of semantic data. If you found some of my code useful, please leave a star :)

The project's goal is to help job seekers understand the basic qualifications for specific jobs and evaluate the suitability of their skills for those positions. Additionally, the program aims to assist recruiters in enhancing their resume selection processes by analyzing and understanding job advertisements ....

Named Entity Recognition and Linguistic Analysis Project

Spacy Named Entiy Recognition.

Documentación utilizada para el proceso de anotación manual de variables obstétricas descritas para la clasificación de criterios de Robson y otras menciones textuales relevantes descritas en documentos clínicos escritos en español.

The Body Function project is a NER that extracts Strength, Range of Motion (ROM), and Reflexes from clinical text.

A Web Tool that allows users to View processed and Analyzed User Feedback Data

Analysis of Traditional NER and Generative LLMs for PICO Annotation in Medical Research

Knowledge graph from unstructured text