Paper Abstract and Keywords |
Presentation |
2013-12-14 09:40
Inference and Learning in Hierarchical Structured Semantic Space Model. Akinori Takada (Ferris Univ.) TL2013-48 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this article I propose a method of inference in "Hierarchical Structured Semantic Space Model" as a method to construct natural language based question-answering system. In rule-based natural language processing, input sentences are needed to be translated into certain types of meta-form. Then, based with the translated meta-form data, system generates some inferences. When we aim to build such inference system, there exist some difficulties in implementing proposed result as it is in the research context of symbolic logics. Especially in dealing concept of instance and class, or in processing conditional sentences or counterfactual sentences, some proposed methods exist but we could not build effective system easily. These difficulties are thought to be a bottleneck in the research of rule-based natural language system. As a solution to the problems, proposed methods are as below : (1) concepts of "instance" and "class" are separately dealt when transforming sentences into meta-form, (2) conditional sentences are classified and transformed into series of logics or facts. Some further problems are discussed along with examples of implemented system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
natural language processing / question-answering system / semantic space / inference / conditional sentence / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 354, TL2013-48, pp. 7-12, Dec. 2013. |
Paper # |
TL2013-48 |
Date of Issue |
2013-12-07 (TL) |
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) |
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TL2013-48 |
Conference Information |
Committee |
TL |
Conference Date |
2013-12-14 - 2013-12-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
WASEDA University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
language and learning, co-creation in a a place |
Paper Information |
Registration To |
TL |
Conference Code |
2013-12-TL |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Inference and Learning in Hierarchical Structured Semantic Space Model. |
Sub Title (in English) |
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natural language processing |
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question-answering system |
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semantic space |
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inference |
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conditional sentence |
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1st Author's Name |
Akinori Takada |
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Ferris University (Ferris Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-12-14 09:40:00 |
Presentation Time |
30 minutes |
Registration for |
TL |
Paper # |
TL2013-48 |
Volume (vol) |
vol.113 |
Number (no) |
no.354 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2013-12-07 (TL) |
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