Differentiable Instruction Optimization for Cross-Task Generalization

1 code implementation • 16 Jun 2023 • Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Instruction tuning has been attracting much attention to achieve generalization ability across a wide variety of tasks.

Bilevel Optimization

SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation

1 code implementation • 24 May 2023 • Tetsu Kasanishi, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Automatic literature review generation is one of the most challenging tasks in natural language processing.

Review Generation

Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance

1 code implementation • 15 Jun 2021 • Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata

This paper presents a novel unsupervised abstractive summarization method for opinionated texts.

Abstractive Text Summarization Opinion Summarization +1

Tree-Structured Neural Topic Model

no code implementations • ACL 2020 • Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata

This paper presents a tree-structured neural topic model, which has a topic distribution over a tree with an infinite number of branches.

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking

1 code implementation • ACL 2019 • Masaru Isonuma, Junichiro Mori, Ichiro Sakata

This paper focuses on the end-to-end abstractive summarization of a single product review without supervision.

Abstractive Text Summarization Document Summarization +1

Extractive Summarization Using Multi-Task Learning with Document Classification

no code implementations • EMNLP 2017 • Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata

The need for automatic document summarization that can be used for practical applications is increasing rapidly.

Classification Document Classification +5