dbpedia-spotlight

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

Insightful Tutorials and Papers about Knowledge Graphs

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

ReFinED is an efficient and accurate entity linking (EL) system.

A JavaFX based desktop search application.