| Paper Abstract and Keywords |
| Presentation |
2015-06-05 10:25
Methods for Selecting Keywords and Calculating Similarities of Documents for Extracting Relationship of Meeting Minutes Generated by Speech Recognition. Motoki Ito, Seikoh Nishita (Takushoku Univ.) TL2015-9 NLC2015-9 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
There was a study of a technique to extract relationship of minutes generated by speech recognition system using collective entity resolution. This technique assumes that its input data, meeting minutes, include error words caused by mis-recognition of the system. The empirical evaluation in this earlier study found that the technique did not work fine. This paper describes improvement of the technique by refining two steps in the technique, keyword extraction and similarity calculation. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Speech recognition / meeting minutes / text mining / entity resolution / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 70, NLC2015-9, pp. 49-54, June 2015. |
| Paper # |
NLC2015-9 |
| Date of Issue |
2015-05-28 (TL, NLC) |
| ISSN |
Print edition: ISSN 0913-5685 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) |
| Download PDF |
TL2015-9 NLC2015-9 |
| Conference Information |
| Committee |
NLC TL |
| Conference Date |
2015-06-04 - 2015-06-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
The University of Tokushima |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Application of natural language proessing and linguistic analysis, and general topic of NLP |
| Paper Information |
| Registration To |
NLC |
| Conference Code |
2015-06-NLC-TL |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Methods for Selecting Keywords and Calculating Similarities of Documents for Extracting Relationship of Meeting Minutes Generated by Speech Recognition. |
| Sub Title (in English) |
|
| Keyword(1) |
Speech recognition |
| Keyword(2) |
meeting minutes |
| Keyword(3) |
text mining |
| Keyword(4) |
entity resolution |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Motoki Ito |
| 1st Author's Affiliation |
Takushoku University (Takushoku Univ.) |
| 2nd Author's Name |
Seikoh Nishita |
| 2nd Author's Affiliation |
Takushoku University (Takushoku Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2015-06-05 10:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLC |
| Paper # |
TL2015-9, NLC2015-9 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.69(TL), no.70(NLC) |
| Page |
pp.49-54 |
| #Pages |
6 |
| Date of Issue |
2015-05-28 (TL, NLC) |