entity-linking

💫 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.

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.

GERBIL - General Entity annotatoR Benchmark

Entity linking framework

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

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).

MedType: Improving Medical Entity Linking with Semantic Type Prediction

Link Wikidata items to large catalogs

Falcon 2.0 is a joint entity and relation linking tool over Wikidata.

Entity linking, entity typing and relation extraction: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

实体链接demo

A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata

Entity Disambiguation as text extraction (ACL 2022)

Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)

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.

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）。

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

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.

Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction

Entity linking of personal mentions in multiparty dialogue.

A python client for connecting to all the services provided by https://dandelion.eu