146 citations · 565 across the 30 of their papers we have counts for
4 papers · 1 filter
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka +1
Transfer and multi-task learning have traditionally focused on either a single source-target pair or very few, similar tasks. Ideally, the linguistic levels of morphology, syntax a…
Domain Adaptation for Neural Networks by Parameter Augmentation
Yusuke Watanabe, Kazuma Hashimoto, Yoshimasa Tsuruoka
We propose a simple domain adaptation method for neural networks in a supervised setting. Supervised domain adaptation is a way of improving the generalization performance on the t…
Tree-to-Sequence Attentional Neural Machine Translation
Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka
Most of the existing Neural Machine Translation (NMT) models focus on the conversion of sequential data and do not directly use syntactic information. We propose a novel end-to-end…
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
Kazuma Hashimoto, Yoshimasa Tsuruoka
We present a novel method for jointly learning compositional and non-compositional phrase embeddings by adaptively weighting both types of embeddings using a compositionality scori…