💫 Industrial-strength Natural Language Processing (NLP) in Python
-
Updated
May 2, 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
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
SpikeX - SpaCy Pipes for Knowledge Extraction
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
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
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
MedType: Improving Medical Entity Linking with Semantic Type Prediction
Falcon 2.0 is a joint entity and relation linking tool over Wikidata.
Link Wikidata items to large catalogs
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata
Entity linking, entity typing and relation extraction: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup
Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction
CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021
Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)
Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.
Created by Halbert L. Dunn
Released 1946