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Your search keyword '"Higashiyama, Shohei"' showing total 3 results
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3 results on '"Higashiyama, Shohei"'

1. Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation

Author

Higashiyama, Shohei, Ouchi, Hiroki, Teranishi, Hiroki, Otomo, Hiroyuki, Ide, Yusuke, Yamamoto, Aitaro, Shindo, Hiroyuki, Matsuda, Yuki, Wakamiya, Shoko, Inoue, Naoya, Yamada, Ikuya, and Watanabe, Taro

Subjects
FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)
Abstract

Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity mentions, and presents a Japanese travelogue dataset designed for evaluating document-level geoparsing systems. Our dataset comprises 200 travelogue documents with rich geo-entity information: 12,171 mentions, 6,339 coreference clusters, and 2,551 geo-entities linked to geo-database entries.

Published
2023

2. Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages

Author

Dhar, Prajit, Bisazza, Arianna, van Noord, Gertjan, Nakazawa, Toshiaki, Nakayama, Hideki, Goto, Isao, Mino, Hideya, Ding, Chenchen, Dabre, Raj, Kunchukuttan, Anoop, Higashiyama, Shohei, Manabe, Hiroshi, Pa Pa, Win, Parida, Shantipriya, Bojar, Ondřej, Chu, Chenhui, Eriguchi, Akiko, Abe, Kaori, Oda, Yusuke, Sudoh, Katsuhito, Kurohashi, Sadao, and Bhattacharyya, Pushpak

Abstract

Dravidian languages, such as Kannada and Tamil, are notoriously difficult to translate by state-of-the-art neural models. This stems from the fact that these languages are morphologically very rich as well as being low-resourced. In this paper, we focus on subword segmentation and evaluate Linguistically Motivated Vocabulary Reduction (LMVR) against the more commonly used SentencePiece (SP) for the task of translating from English into four different Dravidian languages. Additionally we investigate the optimal subword vocabulary size for each language. We find that SP is the overall best choice for segmentation, and that larger dictionary sizes lead to higher translation quality.

Published
2021

3. Evaluation of heat dissipation and structural response of a cellular panel as a heat exchanger.

Author

Higashiyama, Shohei, Ushijima, Kuniharu, Motosuke, Masahiro, and Cantwell, Wesley J

Subjects
*HEAT exchangers, *FINITE element method, *HEAT, *SPECIFIC gravity, *HEAT transfer, *FORCED convection, *CELL anatomy
Abstract

This paper investigates the heat dissipation performance and structural response of two-dimensional cellular structures (based on triangular, square and honeycomb designs) using the finite element analysis technique. Three parameters are used to describe the heat transfer capacity of the structures, these being the heat dissipation Q, the pressure loss Δ P and the temperature difference between the outer wall and the fluid, T w − T f ¯ . In addition, the relative normal stiffness E ∕ Es is used to assess structural performance. These values are dependent upon both the geometry of the cellular unit and also the relative density ρ of the cellular structure. In this study, the effect of varying the cell geometry on these parameters is investigated numerically. Based on the findings of this investigation, it is concluded that a honeycomb panel, with a relative density ρ = 0.45, exhibits the optimum design for use in the manufacture of a heat exchanger. [ABSTRACT FROM AUTHOR]

Published
2019
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