There are 38 repositories under entity-linking topic.
Datasets, SOTA results of every fields of Chinese NLP
Insightful Tutorials and Papers about Knowledge Graphs
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.
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
Recent trends of Entity Linking, Disambiguation, and Representation.
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
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).
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)。
Entity linking system for Wikidata updated by your edits in real time
GERBIL - General Entity annotatoR Benchmark
ReFinED is an efficient and accurate entity linking (EL) system.
Entity linking framework
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
Named Entity Recognition, Entity Linking, and more
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata
How to construct knowledge graphs from unstructured data sources
Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.
Entity linking, entity typing and relation extraction: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup
CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021
Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction
Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)
Corpus of Online Medical EnTities: the cometA corpus
This repository contains the code for the CONLL 2019 paper "Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking". The code is provided as a documentation for the paper and also for follow-up research.