Pinned Repositories
PENS-Personalized-News-Headline-Generation
Code for PENS: A Dataset and Generic Framework for Personalized News Headline Generation
FISHQA
Simplified version of FISHQA model.
HER
Paper Reading Like {HER}: Human Reading Inspired Extractive Summarization
Commendation-System
big project for Commendation System(latent-factor model && content-based mixed algorithm )
cidewebpage
seaborn-data
Data repository for seaborn examples
cnn-text-classification-pytorch
CNNs for Sentence Classification in PyTorch
Hierarchical-Seq2Seq
A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
Information-Retrieval
Information Retrieval system(from crawling, building index, query, Interactive interface design)
LLluoling.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LLluoling's Repositories
LLluoling/PENS-Personalized-News-Headline-Generation
Code for PENS: A Dataset and Generic Framework for Personalized News Headline Generation
LLluoling/LLluoling.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LLluoling/Unsupervised-Neural-Aspect-Extraction-with-Sememes
LLluoling/HER
Paper Reading Like {HER}: Human Reading Inspired Extractive Summarization
LLluoling/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
LLluoling/FISHQA
Simplified version of FISHQA model.
LLluoling/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
LLluoling/cnn-text-classification-pytorch
CNNs for Sentence Classification in PyTorch
LLluoling/Hierarchical-Seq2Seq
A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
LLluoling/seaborn-data
Data repository for seaborn examples
LLluoling/Information-Retrieval
Information Retrieval system(from crawling, building index, query, Interactive interface design)
LLluoling/Commendation-System
big project for Commendation System(latent-factor model && content-based mixed algorithm )
LLluoling/cidewebpage