Shypd.aiThe largest open index of AI toolsOrdered-Neurons is an open-source Research & Education tool that provides code for integrating tree structures into recurrent neural networks. It supports word-level language modeling and unsupervised parsing experiments.
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Ordered-Neurons is an open-source project offering the code used for word-level language model and unsupervised parsing experiments, as detailed in the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks." This repository, originally forked from the LSTM and QRNN Language Model Toolkit for PyTorch, requires Python 3.6, NLTK, and PyTorch 0.4. It enables researchers to train language models and perform unsupervised parsing using the Penn Treebank data, with specific scripts provided for each task. The default settings achieve competitive perplexity on the PTB test set and unlabeled F1 on the WSJ test set, making it a valuable resource for academic research in natural language processing.
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