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entity-recognition-datasets icon entity-recognition-datasets

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.

eznlp icon eznlp

Easy Natural Language Processing

ibm1 icon ibm1

implement ibm model 1 using Python

icl-ceil icon icl-ceil

Code for our paper “Compositional Exemplars for In-context Learning”.

kc icon kc

Knowledge Computing group - MSRA

label-noise-papers icon label-noise-papers

An update-to-date list for papers related with label-noise representation learning is here.

md5 icon md5

用C++实现md5加密算法

multi-cell_lstm icon multi-cell_lstm

Multi-cell compositional LSTM for NER domain adaptation, code for ACL 2020 paper

nlptutorial icon nlptutorial

A Tutorial about Programming for Natural Language Processing

t2ner icon t2ner

T2NER: Transformers based Transfer Learning Framework for NER (EACL 2021)

transferlearning icon transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

vert-papers icon vert-papers

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).

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