René's URL Explorer Experiment

Title: GitHub - iesl/diora: Deep Inside-Outside Recursive Autoencoder · GitHub

Open Graph Title: GitHub - iesl/diora: Deep Inside-Outside Recursive Autoencoder

X Title: GitHub - iesl/diora: Deep Inside-Outside Recursive Autoencoder

Description: Deep Inside-Outside Recursive Autoencoder. Contribute to iesl/diora development by creating an account on GitHub.

Open Graph Description: Deep Inside-Outside Recursive Autoencoder. Contribute to iesl/diora development by creating an account on GitHub.

X Description: Deep Inside-Outside Recursive Autoencoder. Contribute to iesl/diora development by creating an account on GitHub.

Opengraph URL: https://github.com/iesl/diora

X: @github

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README	https://github.com/iesl/diora
Apache-2.0 license	https://github.com/iesl/diora
	https://github.com/iesl/diora#diora
https://arxiv.org/abs/1904.02142	https://arxiv.org/abs/1904.02142
	https://github.com/iesl/diora#recent-related-work
Drozdov et al., 2019. Unsupervised Labeled Parsing with DIORA.	https://aclanthology.org/D19-1161/
Drozdov et al., 2020. Unsupervised Parsing with S-DIORA.	https://aclanthology.org/2020.emnlp-main.392/
Xu et al., 2021. Improved Latent Tree Induction with Distant Supervision via Span Constraints.	https://aclanthology.org/2021.emnlp-main.395/
Hong et al., 2020. DIORA with All-span Objective.	https://aclanthology.org/2020.coling-main.322/
Anonymous, 2021. Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling (CLIORA).	https://openreview.net/forum?id=N0n_QyQ5lBF
	https://github.com/iesl/diora#quick-start
SNLI	https://nlp.stanford.edu/projects/snli/
MultiNLI	https://www.nyu.edu/projects/bowman/multinli/
	https://github.com/iesl/diora#evaluation
	https://github.com/iesl/diora#multi-gpu-training
	https://github.com/iesl/diora#useful-command-line-arguments
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arxiv.org/abs/1904.02142	https://arxiv.org/abs/1904.02142
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