Knowledge-Graph-Tutorials-and-Papers

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Datasets, SOTA results of every fields of Chinese NLP

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

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

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)