Search Results for author: Takashi Wada

Found 8 papers, 5 papers with code

Unsupervised Lexical Simplification with Context Augmentation

1 code implementation1 Nov 2023 Takashi Wada, Timothy Baldwin, Jey Han Lau

We propose a new unsupervised lexical simplification method that uses only monolingual data and pre-trained language models.

Lexical Simplification

Unsupervised Paraphrasing of Multiword Expressions

1 code implementation2 Jun 2023 Takashi Wada, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau

We propose an unsupervised approach to paraphrasing multiword expressions (MWEs) in context.

text similarity

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models

1 code implementation ACL 2019 Takashi Wada, Tomoharu Iwata, Yuji Matsumoto

Recently, a variety of unsupervised methods have been proposed that map pre-trained word embeddings of different languages into the same space without any parallel data.

Word Alignment Word Embeddings

Bayesian Optimization for Multi-objective Optimization and Multi-point Search

no code implementations7 May 2019 Takashi Wada, Hideitsu Hino

It is difficult to analytically maximize the acquisition function as the computational cost is prohibitive even when approximate calculations such as sampling approximation are performed; therefore, we propose an accurate and computationally efficient method for estimating gradient of the acquisition function, and develop an algorithm for Bayesian optimization with multi-objective and multi-point search.

Bayesian Optimization

Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models

no code implementations7 Sep 2018 Takashi Wada, Tomoharu Iwata

The proposed model contains bidirectional LSTMs that perform as forward and backward language models, and these networks are shared among all the languages.

Cross-Lingual Word Embeddings Sentence +2

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