Masaru Isonuma

According to our database, Masaru Isonuma authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

What's New in My Data? Novelty Exploration via Contrastive Generation.

Masaru Isonuma, Ivan Titov

CoRR, 2024

Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation.

Huimin Lu, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

CoRR, 2024

Comprehensive Evaluation of Large Language Models for Topic Modeling.

Tomoki Doi, Masaru Isonuma, Hitomi Yanaka

CoRR, 2024

Unlearning Reveals the Influential Training Data of Language Models.

Masaru Isonuma, Ivan Titov

CoRR, 2024

Unlearning Traces the Influential Training Data of Language Models.

Masaru Isonuma, Ivan Titov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Topic Modeling for Short Texts with Large Language Models.

Tomoki Doi, Masaru Isonuma, Hitomi Yanaka

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Dynamic Structured Neural Topic Model with Self-Attention Mechanism.

Nozomu Miyamoto, Masaru Isonuma, Sho Takase, Junichiro Mori, Ichiro Sakata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Tetsu Kasanishi, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Differentiable Instruction Optimization for Cross-Task Generalization.

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Lexical Entailment with Hierarchy Representations by Deep Metric Learning.

Naomi Sato, Masaru Isonuma, Kimitaka Asatani, Shoya Ishizuka, Aori Shimizu, Ichiro Sakata

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

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

Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata

Trans. Assoc. Comput. Linguistics, 2021

Discovering Interdisciplinarily Spread Knowledge in the Academic Literature.

Maiko Kamada, Kimitaka Asatani, Masaru Isonuma, Ichiro Sakata

IEEE Access, 2021

2020

Tree-Structured Neural Topic Model.

Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Unsupervised Joint Learning for Headline Generation and Discourse Structure of Reviews.

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Proceedings of the Advances in Artificial Intelligence, 2019

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

Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Extractive Summarization Using Multi-Task Learning with Document Classification.

Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017