Search Results for author: Hayato Tsukagoshi

Found 6 papers, 3 papers with code

WikiSplit++: Easy Data Refinement for Split and Rephrase

1 code implementation13 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).

Decoder Sentence +2

Improving Sentence Embeddings with an Automatically Generated NLI Dataset

no code implementations23 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.

Decoder Natural Language Inference +5

Japanese SimCSE Technical Report

1 code implementation30 Oct 2023 Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda

We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE.

Sentence Sentence Embedding +1

Sentence Representations via Gaussian Embedding

no code implementations22 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.

Contrastive Learning Natural Language Inference +5

DefSent: Sentence Embeddings using Definition Sentences

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.

Natural Language Inference Sentence +3

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