PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
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Updated
Apr 18, 2018 - Python
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
biLSTM/CNN based deep learning framework for Question Answer Selection.
简版文本对话/问答系统
WikiQA,复现论文《APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK》
Implementation of LSTM based Deep Learning Models for Non-Factoid Answer Selection by Ming et al. in PyTorch
WikiQA,复现论文《Multihop Atention Networks for Qestion Answer Matching》
My solution to Microsoft AI Challenge 2018
LSTM-BASED DEEP LEARNING MODELS FOR NONFACTOID ANSWER SELECTION
复现《A Compare-Aggregate Model for Matching Text Sequences》论文 via Tensorflow
Applying deep learning to answer selection: A study and an open task
CNN在句子相似性建模的应用,“Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks”这篇论文的tensorflow实现
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