INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
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Updated
Jun 30, 2024 - Java
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.
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
Automatically link text to corresponding entities
Spark RDD with Lucene's query and entity linkage capabilities
Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.
Insightful Tutorials and Papers about Knowledge Graphs
💫 Industrial-strength Natural Language Processing (NLP) in Python
[Konvens21] This repository contains the DFKI MobIE Corpus, a dataset of 3,232 German-language documents that have been annotated with fine-grained geo-entities, such as streets, stops and routes, as well as standard named entity types (organization, date, number, etc).
Rosette API Client Library for Java
Entity linking evaluation and analysis tool
Shell scripts for accessing the Rosette API endpoints
GERBIL - General Entity annotatoR Benchmark
Named Entity Recognition, Entity Linking, and more
Biomedical Term Annotator
Simple SNOMED-CT assistant app demo by Streamlit.
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Code of "A Read-and-Select Framework for Zero-shot Entity Linking" (EMNLP 2023 Findings).
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
Created by Halbert L. Dunn
Released 1946