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.

CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

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"

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).

Link Wikidata items to large catalogs

MedType: Improving Medical Entity Linking with Semantic Type Prediction

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

实体链接demo

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

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

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

Entity linking of personal mentions in multiparty dialogue.

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.

A curated list of Deep learning and NLP must read papers

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.

Corpus of Online Medical EnTities: the cometA corpus

Structured Gradient Tree Boosting

Zero-shot Entity Linking with blitz start in 3 minutes. Hard negative mining and encoder for all entities are also included in this implementation.

Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction