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Text classification using a convolutional neural network.
comparation of diffrent approaches of sentence embedding
A collection of deep learning models for sentence representation on classification that implemented in PyTorch
Sentence Selection for Reading Comprehension task on the SQuaD question answering dataset
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
(IJCAI 2018) TreeNet: Learning Sentence Representations with Unconstrained Tree Structure
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Sequence-to-sequence model with LSTM encoder/decoders and attention
Compare-Aggregate method for WikiQA (via PyTorch)
SNLI with word-word attention by LSTM encoder-decoder
Stanford Natural Language Inference Model in Keras
Testing my model on the snli corpus
Implements MLP based model which achieve the same effect as lstm/gru with tensorflow low api
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
Neural network toolkit for sentence pair modeling.
QA system for Stanford Question Answering Dataset
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)
Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
code for Learning Structured Text Representations
Implementation of the Paper Structured Self-Attentive Sentence Embedding published in ICLR 2017
Pytorch implementation of : "Learning Structured Text Representations"
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"
Source code of Response Selection with Topic Clues for Retrieval-based Chatbots
Tag-enhanced Tree-Structured NN for discourse relation classification.
Code of Tree communication model (TCM) for sentiment analysis.
深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章,涉及到搜索(Query理解,召回,排序)/推荐(召回,排序)/自然语言处理(文本分类,文本相似度判定,文本匹配,文本生成,命名体识别)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.