shahrzadzolghadr Goto Github PK

hdegraph

Code for ACL 2019 paper "Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs"

persian-document-classification

Naive Bayes classifier from scratch and word2vec model from scratch on Persian news corpus

persian-neural-language-model

A character level LSTM network as a language model on persian news corpus

persian-sentiment-analysis

Sentiment Analysis on Snappfood comments dataset

persian-statistical-language-model

A word level n-gram language model on persian news corpus

repo2

sae

Code for AAAI 2020 paper "Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents"

sentiment-analysis

Sentiment Analysis on Snappfood dataset

ssb-vae

Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing: we investigate the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use. In addition, we propose a novel supervision approach in which the model uses its own predictions of the label distribution to implement the pairwise objective. Compared to the best baseline, this procedure yields similar performance in fully-supervised settings but improves significantly the results when labelled data is scarce.

tehran-house-price-prediction

Apply regression models on Tehran house features dataset which has been crawled from ihome.ir