Entity-Relation-Extraction

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

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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.

Insightful Tutorials and Papers about Knowledge Graphs

Portuguese pre-trained BERT models

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).