Insightful Tutorials and Papers about Knowledge Graphs

LLM-based ontological extraction tools, including SPIRES

GERBIL - General Entity annotatoR Benchmark

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

A very simple framework for state-of-the-art Natural Language Processing (NLP)

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

A self-hosted search engine for documents.

💫 Industrial-strength Natural Language Processing (NLP) in Python

A near real-time named-entity recognizer

PyTorch-IE: State-of-the-art Information Extraction in PyTorch

Parsing prescription dose instructions using Named Entity Recognition and rules

This repository contains various tools intended for handling Natural Language Processing (NLP) tasks

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

using a pretrained ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text

flairR: Bring Amazing Flair NLP to R

The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.

Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation

State of the Art Natural Language Processing

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