A Structured Self-attentive Sentence Embedding

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge

Structured Self Attention implementation in tensorflow

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

Implementation of the Paper Structured Self-Attentive Sentence Embedding published in ICLR 2017

Jatext Classification