💫 Industrial-strength Natural Language Processing (NLP) in Python
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Updated
Nov 19, 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.
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
Insightful Tutorials and Papers about Knowledge Graphs
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).
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
GERBIL - General Entity annotatoR Benchmark
医药知识图谱自动问答系统实现,包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。
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 linking framework
Spark RDD with Lucene's query and entity linkage capabilities
Babel Street Analytics Client Library for Java
SpikeX - SpaCy Pipes for Knowledge Extraction
Entity linking system for Wikidata updated by your edits in real time
Falcon 2.0 is a joint entity and relation linking tool over Wikidata.
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
Recent trends of Entity Linking, Disambiguation, and Representation.
Created by Halbert L. Dunn
Released 1946