1181 Open source projects that are alternatives of or similar to Wikipedia2vec

Named Entity Recognition using multilayered bidirectional LSTM

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

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Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Data augmentation for NLP, presented at EMNLP 2019

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A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

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Text classification with Sparse Composite Document Vectors.

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Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Tool for interactive embeddings visualization

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

A collection of Natural language processing pre-trained models.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

State of the Art Natural Language Processing

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

ADAM - A Question Answering System. Inspired from IBM Watson

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Character-based word embeddings model based on RNN for handling real world texts

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Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Arabic support for textblob

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Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

A fast, efficient universal vector embedding utility package.

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

Kadot, the unsupervised natural language processing library.

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Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

This Word Does Not Exist

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📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

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📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Build a bot that speaks like you!

Python library for digesting Persian text.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

A Large-Scale Few-Shot Relation Extraction Dataset