Paper Abstract and Keywords |
Presentation |
2019-09-28 17:55
On evaluation of word-embedding models for technical term in space systems Naoko Okubo, Sho Kurahayashi, Kenji Mori, Kohsuke Namihira, Yasushi Ueda, Masafumi Katahira (JAXA), Toshiyuki Amagasa (Unv. Tsukuba) NLC2019-28 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we report the examination result of the method to evaluate the quality of the word-em-bedding models with word2vec before applying them to the actual NLP task. The quality about word-embeddingmodels can be confirmed when applied to a real NLP task. However, when the word-embedding model is applied to tasks that require specialized knowledge for the evaluation, such as spacecraft development, it is difficult to apply
multiple evaluation costs because the number of people who can be evaluated is limited. Therefore, we examined a method to evaluate the quality of the word-embedding models with a certain degree of accuracy before applying it to a real NLP task. We also investigated the correlation between the evaluation result of the word-embedding model and the accuracy of the actual NLP task. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
word-embedding model / word2vec / technical term / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 212, NLC2019-28, pp. 109-114, Sept. 2019. |
Paper # |
NLC2019-28 |
Date of Issue |
2019-09-20 (NLC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLC2019-28 |
Conference Information |
Committee |
NLC IPSJ-DC |
Conference Date |
2019-09-27 - 2019-09-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Future Corporation |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Thirteenth Text Analytics Symposium |
Paper Information |
Registration To |
NLC |
Conference Code |
2019-09-NLC-DC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
On evaluation of word-embedding models for technical term in space systems |
Sub Title (in English) |
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Keyword(1) |
word-embedding model |
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word2vec |
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technical term |
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1st Author's Name |
Naoko Okubo |
1st Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
2nd Author's Name |
Sho Kurahayashi |
2nd Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
3rd Author's Name |
Kenji Mori |
3rd Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
4th Author's Name |
Kohsuke Namihira |
4th Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
5th Author's Name |
Yasushi Ueda |
5th Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
6th Author's Name |
Masafumi Katahira |
6th Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
7th Author's Name |
Toshiyuki Amagasa |
7th Author's Affiliation |
University of Tsukuba (Unv. Tsukuba) |
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Speaker |
Author-1 |
Date Time |
2019-09-28 17:55:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2019-28 |
Volume (vol) |
vol.119 |
Number (no) |
no.212 |
Page |
pp.109-114 |
#Pages |
6 |
Date of Issue |
2019-09-20 (NLC) |
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