VioletJKI

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

YEDDA

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

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

magic_google

Google search results crawler, get google search results that you need

google_spider

谷歌镜像爬虫

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

BERT-CH-NER

基于BERT的中文命名实体识别

BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

BERT-NER-CLI

Bert NER command line tester with step by step setup guide

bertNER

ChineseNER based on BERT, with BiLSTM+CRF layer

CrawlArticle

基于文字密度的新闻正文提取模块，兼容python2和python3，传入新闻网址或者网页源码即可返回标题，发布时间和正文内容。

deep_ner

Named entity recognizer based on ELMo or BERT as feature extractor and CRF as final classifier

Kashgari

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.

CNKICrawler

**知网爬虫

Chinese_NER_with_Attention

sequence-labeler

Neural network sequence labeling model

BERT-for-Sequence-Labeling-and-Text-Classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

LSTM-CRF-models

LSTM-CRF models for sequence labeling in text.

neural_sequence_labeling

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

SequenceTagging

自然语言处理中的序列标注实现

sequencetagging

A sequence tagging model with active learning

BiLstm_CNN_CRF_CWS

BiLstm+CNN+CRF 法律文档（合同类案件）领域分词（100篇标注样本）

html2text

Convert HTML to Markdown-formatted text.

python-boilerpipe

Python interface to Boilerpipe, Boilerplate Removal and Fulltext Extraction from HTML pages

char-embeddings

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

NCRFpp

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.

NER-CONLL2003

Entity recognition of CONLL2003 corpus using Keras

conll2003-bert

Applying BERT neural net to CoNLL2003 NER task

etagger

reference tensorflow code for named entity tagging