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Paper Abstract and Keywords
Presentation 2019-09-28 17:30
Estimating Distributed Expressions of Unknown Compound Word Using Distributed Expressions of Known Words
Ryota Takagi, Kazuhiro Kazama (Wakayama Univ), Takeshi Sakaki (Hotto Link) NLC2019-27
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the distributed expression, which treats the meaning of a word as a low-dimensional vector expression, is widely used. There are various methods to obtain the distributed expression of a word. For example, Mikolov et al. proposed word2vec that learns the surrounding words of a word by a neural network, and outputs the vector of weights in the middle layer of the learning result as a distributed representation, However, an unknown compound word should be re-learn even if it is a known word sequences because only distributed repre- sentations of words, which are used for learning, are available in word2vec. It requires a lot of additional cost. We propose a method to estimate the distributed expression of unknown compound words with relatively high accuracy, using distributed expression data that has been already learned and a simple statistical indicator. In practice, we focus on the modification relation between nouns that constitute a Japanese compound words and weight distributed expression vectors by compound noun frequency of noun 2-grams. Additionally, we compare the similarity and the MRR of the proposed method with those of other methods that are used to obtain the distributed expression of a sentence using the distributed expression of words such as the simple average method and the method proposed by Arora et al. etc. We show the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) compound words / distributed representation / word2vec / compound noun frequency / modification relation / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 212, NLC2019-27, pp. 103-108, Sept. 2019.
Paper # NLC2019-27 
Date of Issue 2019-09-20 (NLC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF NLC2019-27

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) Estimating Distributed Expressions of Unknown Compound Word Using Distributed Expressions of Known Words 
Sub Title (in English)  
Keyword(1) compound words  
Keyword(2) distributed representation  
Keyword(3) word2vec  
Keyword(4) compound noun frequency  
Keyword(5) modification relation  
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1st Author's Name Ryota Takagi  
1st Author's Affiliation Wakayama University (Wakayama Univ)
2nd Author's Name Kazuhiro Kazama  
2nd Author's Affiliation Wakayama University (Wakayama Univ)
3rd Author's Name Takeshi Sakaki  
3rd Author's Affiliation Hotto Link Inc. (Hotto Link)
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Speaker Author-1 
Date Time 2019-09-28 17:30:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2019-27 
Volume (vol) vol.119 
Number (no) no.212 
Page pp.103-108 
#Pages
Date of Issue 2019-09-20 (NLC) 


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