| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2024-03-01 14:40 Request span extraction from dialog with Heterogeneous Graph Attention Networks Naoki Mizumoto, Katsuhide Fujita (TUAT)  AI2023-41 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction problem.'' In the span extraction problem, user-requested expressions are extracted for pre-determined categories of user requests. It extract user requests in natural language. We propose a method using Heterogeneous Graph Attention Networks (HetGAT) as a learning model. The method using HetGAT shows the best performance compared to BERT's fine-tuning model and other graph network models. The depth of the GAT layer in HetGAT also has a significant effectiveness on the accuracy. |
|
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dialog State Tracking / Span Extraction / Graph Neural Network / Natural Language Processing / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 405, AI2023-41, pp. 25-30, March 2024. | |
| Paper # | AI2023-41 | |
| Date of Issue | 2024-02-23 (AI) | |
| 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) | |
| Download PDF | AI2023-41 |
|
| Conference Information | |
| Committee | AI |
| Conference Date | 2024-03-01 - 2024-03-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Room0221, Bldg.2-C, Nagoya Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SMASH24 Winter Symposium |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2024-03-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Request span extraction from dialog with Heterogeneous Graph Attention Networks |
| Sub Title (in English) | |
| Keyword(1) | Dialog State Tracking |
| Keyword(2) | Span Extraction |
| Keyword(3) | Graph Neural Network |
| Keyword(4) | Natural Language Processing |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Naoki Mizumoto |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Katsuhide Fujita |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2024-03-01 14:40:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2023-41 |
| Volume (vol) | vol.123 |
| Number (no) | no.405 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2024-02-23 (AI) |
[Return to Top Page]