4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 4 cited
Unsupervised Lexical Substitution with Decontextualised Embeddings
Takashi Wada, Timothy Baldwin, Yuji Matsumoto +1
We propose a new unsupervised method for lexical substitution using pre-trained language models. Compared to previous approaches that use the generative capability of language mode…
cs.CL2020
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto +2
We propose a new approach for learning contextualised cross-lingual word embeddings based on a small parallel corpus (e.g. a few hundred sentence pairs). Our method obtains word em…
cs.CL2018
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models
Takashi Wada, Tomoharu Iwata
We propose an unsupervised method to obtain cross-lingual embeddings without any parallel data or pre-trained word embeddings. The proposed model, which we call multilingual neural…