💫 Industrial-strength Natural Language Processing (NLP) in Python
-
Updated
May 15, 2024 - Python
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Simple SNOMED-CT assistant app demo by Streamlit.
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
Rosette API Client Library for Java
Biomedical Term Annotator
Code of "A Read-and-Select Framework for Zero-shot Entity Linking" (EMNLP 2023 Findings).
Insightful Tutorials and Papers about Knowledge Graphs
Entity linking evaluation and analysis tool
Project that aims to sentenize all the open data of Riksdagen and other sources to create an easily linkable dataset of sentences that can be refered to from Wikidata lexemes and other resources
Fast dictionary-based approach for semantic annotation / entity linking
Corpus of Online Medical EnTities: the cometA corpus
Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)
GERBIL - General Entity annotatoR Benchmark
Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
A Metric learning-based Method for Biomedical Entity Linking
Attention-based approach to NIL Entity Linking
Link Wikidata items to large catalogs
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
Created by Halbert L. Dunn
Released 1946