Papers by Yuya Ogasa

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Papers by Yuya Ogasa

LREC

2024.lrec-main

paraphrase generation model
sequence-to-sequence model
pretrained masked language models
semantic and lexical similarities
data augmentation
generation
downstream task-dependent
downstream tasks
paraphrase generation
contrastive learning

2024

Responsible & Trustworthy NLP

1 papers

Controllable Paraphrase Generation for Semantic and Lexical Similarities (2024.lrec-main)

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Yuya Ogasa, Tomoyuki Kajiwara, Yuki Arase

Responsible & Trustworthy NLP

Challenge:	Lexically diverse paraphrases are crucial in data augmentation because they enhance the linguistic diversity of the corpus.
Approach:	They propose a controllable model for semantic and lexical similarities by attaching tags to the head of the input sentence.
Outcome:	The proposed model can paraphrase an input sentence according to the tags specified.

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