该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
#计算机科学#Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
#自然语言处理#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 re...
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
#自然语言处理# Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
#自然语言处理#An overview of the AI-as-a-service landscape
#自然语言处理#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
#自然语言处理#A comprehensive list of annotated training datasets classified by use case.
#自然语言处理#Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues
BERT CRF model for Name Entity Recognition in pytorch
Entity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"
#自然语言处理#A data labeling and NLP tool for Elixir (uses Spacy)
A lightweight web-based annotation tool for labelling entity recognition data.
#自然语言处理#Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more
Registry of metadata identifier entities like UUID, GUID, person fullname, address and so on. Linked with other sources
#自然语言处理#Rust crate for entity parsing
#自然语言处理#Python library for custom entity recognition using Sklearn CRF
#自然语言处理#Capsule Routing for Named Entity Recognition