该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

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.

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

An overview of the AI-as-a-service landscape

DIET Classifier mini implementation on pytorch.

Metadata and data identification tool and Python library. Identifies PII, common identifiers, language specific identifiers. Fully customizable and flexible rules

Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues

A comprehensive list of annotated training datasets classified by use case.

BERT CRF model for Name Entity Recognition in pytorch

Entity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"

A data labeling and NLP tool for Elixir (uses Spacy)

A lightweight web-based annotation tool for labelling entity recognition data.

Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more

Python library for custom entity recognition using Sklearn CRF

Registry of metadata identifier entities like UUID, GUID, person fullname, address and so on. Linked with other sources

Rust crate for entity parsing

Capsule Routing for Named Entity Recognition