Search Results for author: Takashi Shibuya

Found 5 papers, 3 papers with code

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models

no code implementations30 Oct 2022 Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren

Explanation-based model debugging aims to resolve spurious biases by showing human users explanations of model behavior, asking users to give feedback on the behavior, then using the feedback to update the model.

text-classification Text Classification

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

1 code implementation16 May 2022 Yuhta Takida, Takashi Shibuya, WeiHsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji

In this paper, we propose a new training scheme that extends the standard VAE via novel stochastic dequantization and quantization, called stochastically quantized variational autoencoder (SQ-VAE).

Quantization

Nested Named Entity Recognition via Second-best Sequence Learning and Decoding

3 code implementations5 Sep 2019 Takashi Shibuya, Eduard Hovy

When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.

named-entity-recognition Nested Mention Recognition +2

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