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Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
Bi-Directional Block Self-Attention
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Datasets, SOTA results of every fields of Chinese NLP
This code is for Convolutional Latent Semantic Model, which is similay with DSSM(Deep Semantic Similarity Model).
CNNs for sentence classification
A convolutional neural network from scratch
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Cleaned code for paper "Natural Language Inference over Interaction Space"
Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)
Code associated with the Don't Stop Pretraining ACL 2020 paper
Enhanced BiLSTM Inference Model for Natural Language Inference
Repository for NLI models (EMNLP 2018)
TensorFlow implementation of the ESIM model (Enhanced LTSM for natural language inference)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Deep learning algorithms source code for beginners
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.
基于“音形码”的中文字符串相似度计算方法
Address the out-of-vocabulary (OOV) problem in sequence labeling
Methods about Deep Learning for Text Matching
Pre-Trained Models for ToD-BERT
code for Uncertainty-Aware Label Refinement for Sequence Labeling
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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.