Dec 3, 2020 · We propose a novel autoencoder approach, called recursive tree grammar autoencoder (RTG-AE), which encodes trees via a bottom-up parser and decodes trees via a ...

Aug 2, 2022 · In this paper, we propose a novel autoencoder for trees, which is the first model to combine grammar information, recursive processing, and deep learning.

Sep 1, 2022 · RTG-AEs are the first model to combine three features: recursive processing, grammatical knowledge, and deep learning. Our key message is that ...

Sep 13, 2024 · The resulting encoding and decoding functions can then be employed in subsequent tasks, such as optimization and time series prediction. Our key ...

Feb 10, 2022 · In this work, we propose a novel autoencoder approach, called recursive tree grammar autoencoder (RTG-AE), which encodes trees via a bottom-up ...

Aug 2, 2022 · In this work, we propose recursive tree grammar autoencoders (RTG-AEs), which encode trees via a bottom-up parser and decode trees via a tree ...

Dec 9, 2020 · Introduction. This repository contains a reference implementation of Recursive Tree Grammar Autoencoders (RTG-AEs) as described in the paper.

In this work, we propose a novel autoencoder approach, called recursive tree grammar autoencoder (RTG-AE), which encodes trees via a bottom-up parser and ...

This is the official repo for our NAACL 2019 paper Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders (DIORA).

In this work, we propose a novel autoencoder approach, called recursive tree grammar autoencoder (RTG-AE), which encodes trees via a bottom-up parser and ...