1 code implementation • 13 Apr 2024 • Hayato Tsukagoshi, Tsutomu Hirao, Makoto Morishita, Katsuki Chousa, Ryohei Sasano, Koichi Takeda
The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstream tasks in natural language processing (NLP).
no code implementations • 23 Feb 2024 • Soma Sato, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
Decoder-based large language models (LLMs) have shown high performance on many tasks in natural language processing.
1 code implementation • 30 Oct 2023 • Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE.
no code implementations • 22 May 2023 • Shohei Yoda, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
Recent progress in sentence embedding, which represents the meaning of a sentence as a point in a vector space, has achieved high performance on tasks such as a semantic textual similarity (STS) task.
no code implementations • *SEM (NAACL) 2022 • Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
There have been many successful applications of sentence embedding methods.
1 code implementation • ACL 2021 • Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
However, these methods are only available for limited languages due to relying heavily on the large NLI datasets.