1221 Open source projects that are alternatives of or similar to Cluener2020

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Learning Named Entity Tagger from Domain-Specific Dictionary

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

Neural machine translation implementation using dynet's python bindings

simple rule based named entity recognition

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

How to build and deploy an anonymization API with FastAPI

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Named-entity recognition for Ruby

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

NER（命名实体识别）中文语料，一站式获取

a Fairseq fork for sequence tagging/labeling tasks

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

An elaborate and exhaustive paper list for Named Entity Recognition (NER)

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

Translating English sentences to Marathi using Neural Machine Translation

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Python library and command-line tool for extracting compounds from scientific literature. Written in Python.

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Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Sequence Labeling in Tensorflow

An implementation of attention-based neural machine translation using Pytorch

Python module for Named Entity Recognition (NER) using natural language processing.

A simple zero-dependency React component for tagging user-defined entities within a block of text.

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

一套针对中文实体识别的BLSTM-CRF解决方案

Named Entity Recognition for biomedical entities

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

a Deep Learning Framework for Text

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

使用预训练语言模型ALBERT做中文NER

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

Snips Python library to extract meaning from text

Pytorch seq2seq chatbot

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

A Vietnamese natural language processing toolkit (NAACL 2018)

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

Sequence to sequence learning using TensorFlow.

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

End-to-end ASR/LM implementation with PyTorch

BERT for Multitask Learning

Deep neural models for core NLP tasks (Pytorch version)

中文 NLP 任务预处理工具包，准确、高效、零使用门槛

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.