Hidetaka Kamigaito
5 papers in the PaperMetrix corpus
Papers by this author
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Discourse-Aware Hierarchical Attention Network for Extractive Single-Document Summarization
2019
Discourse relations between sentences are often represented as a tree, and the tree structure provides important information for summarizers to create a short and coherent summary. However, current neural network-based summarizers treat the source document …
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Model-based Subsampling for Knowledge Graph Completion
2023
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: …
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Multi-label Learning with Random Circular Vectors
2024
The extreme multi-label classification (XMC) task involves learning a classifier that can predict from a large label set the most relevant subset of labels for a data instance.While deep neural networks (DNNs) have demonstrated remarkable …
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mbrs: A Library for Minimum Bayes Risk Decoding
2024 · arXiv (Cornell University)
Minimum Bayes risk (MBR) decoding is a decision rule of text generation tasks that outperforms conventional maximum a posterior (MAP) decoding using beam search by selecting high-quality outputs based on a utility function rather than …
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Considering Length Diversity in Retrieval-Augmented Summarization
2025 · arXiv (Cornell University)
This study investigates retrieval-augmented summarization by specifically examining the impact of exemplar summary lengths under length constraints, not covered by previous work. We propose a Diverse Length-aware Maximal Marginal Relevance (DL-MMR) algorithm to better control …