5 citations · 5 across the 4 of their papers we have counts for
4 papers
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada +2
We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities. The advantage of using entity supervision is…
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
Ryokan Ri, Yoshimasa Tsuruoka
We investigate what kind of structural knowledge learned in neural network encoders is transferable to processing natural language. We design artificial languages with structural p…
Document-aligned Japanese-English Conversation Parallel Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
Sentence-level (SL) machine translation (MT) has reached acceptable quality for many high-resourced languages, but not document-level (DL) MT, which is difficult to 1) train with l…
Designing the Business Conversation Corpus
Matīss Rikters, Ryokan Ri, Tong Li +1
While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based trainin…