activity
20192023
most citedUnsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Differentiable Instruction Optimization for Cross-Task Generalization

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Instruction tuning has been attracting much attention to achieve generalization ability across a wide variety of tasks. Although various types of instructions have been manually cr…

cs.CL2023★ 1 cited

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

Tetsu Kasanishi, Masaru Isonuma, Junichiro Mori +1

Automatic literature review generation is one of the most challenging tasks in natural language processing. Although large language models have tackled literature review generation…

cs.DL2022

Storyteller: The papers co-citing Sleeping Beauty and Prince before awakening

Takahiro Miura, Ichiro Sakata

In the Cumulative Advantage(CA) model, which is one of the most fundamental approaches to understand the mechanism of citation dynamics, papers receive citations depending on how m…

cs.CL2021

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

Masaru Isonuma, Junichiro Mori, Danushka Bollegala +1

This paper presents a novel unsupervised abstractive summarization method for opinionated texts. While the basic variational autoencoder-based models assume a unimodal Gaussian pri…

cs.CL2019★ 4 cited

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

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

This paper focuses on the end-to-end abstractive summarization of a single product review without supervision. We assume that a review can be described as a discourse tree, in whic…