💫 Industrial-strength Natural Language Processing (NLP) in Python
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Updated
Jul 8, 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
Datasets, SOTA results of every fields of Chinese NLP
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Insightful Tutorials and Papers about Knowledge Graphs
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
CCKS 2019
SpikeX - SpaCy Pipes for Knowledge Extraction
Recent trends of Entity Linking, Disambiguation, and Representation.
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).
Entity linking system for Wikidata updated by your edits in real time
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
GERBIL - General Entity annotatoR Benchmark
Entity linking framework
ReFinED is an efficient and accurate entity linking (EL) system.
Entity Disambiguation as text extraction (ACL 2022)
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
Spark RDD with Lucene's query and entity linkage capabilities
Created by Halbert L. Dunn
Released 1946