514 Open source projects that are alternatives of or similar to deepnlp

State of the Art Natural Language Processing

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

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

Stanford CoreNLP in idiomatic Clojure.

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

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

Snips Python library to extract meaning from text

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百度NLP：分词，词性标注，命名实体识别，词重要性

👑 spaCy building blocks and visualizers for Streamlit apps

The Mingled Structured Predictor

基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

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

中文分词 词性标注 命名实体识别 依存句法分析 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 自然语言处理

Sequence Labeling in Tensorflow

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…

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

A pythonic wrapper for Stanford CoreNLP.

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.

👩‍🏫 Advanced NLP with spaCy: A free online course

A PyTorch-based toolkit for natural language processing

Hierarchically-Refined Label Attention Network for Sequence Labeling

Arabic support for textblob

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

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.

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec

BERT for Multitask Learning

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

sequence tagging for NER for ULMFiT

Very deep CNN for text classification

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

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Python library for custom entity recognition using Sklearn CRF

Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

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NLP in Python with Deep Learning

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Implementation of ULMFit algorithm for text classification via transfer learning

Japanese morphological analyzer on .NET

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

🧚‍♀️ Chatbot library turning conversations into actions, locally, in the browser.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

An NER tool for ancient place names based on Pleiades and Spacy.

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

Part-of-Speech Tagging Models in Python

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Biomedical NLP Corpus or Datasets.