Tree LSTM implementation in PyTorch
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Updated
Sep 30, 2019 - Python
Tree LSTM implementation in PyTorch
Recursive Neural Networks for PyTorch
Tag-enhanced Tree-Structured NN for discourse relation classification.
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Tree Stack Memory Units
A Tree-LSTM-based dependency tree sentiment labeler
Neural-Network Guided Expression Transformation
This repository provides all the models that we use to solve the Context Independent Claim Detection Argumentation Mining sub-task.
THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.
An reimplementation of Makoto Miwa and Mohit Bansa. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures. http://dx.doi.org/10.18653/v1/P16-1105)
Sentiment analysis using neural BoW and LSTM based models
Head-Lexicalized Bidirectional Tree LSTMs
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