1145 Open source projects that are alternatives of or similar to Kashgari

State of the Art Natural Language Processing

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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…

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。

Learning Named Entity Tagger from Domain-Specific Dictionary

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

👑 spaCy building blocks and visualizers for Streamlit apps

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

PyTorch repository for text categorization and NER experiments in Turkish and English.

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.

Snips Python library to extract meaning from text

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

BERT for Multitask Learning

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

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

a sklearn wrapper for Google's BERT model

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

A PyTorch-based toolkit for natural language processing

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Weakly supervised medical named entity classification

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

a Deep Learning Framework for Text

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

A Vietnamese natural language processing toolkit (NAACL 2018)

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Deep neural models for core NLP tasks (Pytorch version)

基于Pytorch和torchtext的知识图谱深度学习框架。

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

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

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

Empower Sequence Labeling with Task-Aware Language Model

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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.

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

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

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

reference pytorch code for named entity tagging

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

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

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)

DELTA is a deep learning based natural language and speech processing platform.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

LSTM-CRF for NER with ConLL-2002 dataset