Domain action classification using a maximum entropy model in a schedule management domain-Reference-Cited by-同舟云学术

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Domain action classification using a maximum entropy model in a schedule management domain

Published:2008 Issue:4 Volume:21 Page:221-229
ISSN:0921-7126
Container-title:AI Communications
language:
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Author:

Lee Hyunjung¹,Kim Harksoo²,Seo Jungyun³

Affiliation:

1. NLP Lab., Dept. of Computer Science, Sogang University, Mapo-gu, Seoul, 121-742, Korea. E-mail: juvenile@sogang.ac.kr.

2. Program of Computer and Communications Engineering, Kangwon National University, Chuncheon-si, Gangwon-do, 200-701, Korea

3. Dept. of Computer Science and Interdisciplinary Program of Integrated Biotechnology, Sogang University, Mapo-gu, Seoul, 121-742, Korea

Publisher

IOS Press

Subject

Artificial Intelligence

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis;IET Collaborative Intelligent Manufacturing;2020-06

2. Dialogue Act Classification Model Based on Deep Neural Networks for a Natural Language Interface to Databases in Korean;2018 IEEE International Conference on Big Data and Smart Computing (BigComp);2018-01

3. Integrated neural network model for identifying speech acts, predicators, and sentiments of dialogue utterances;Pattern Recognition Letters;2018-01

4. Improving domain action classification in goal-oriented dialogues using a mutual retraining method;Pattern Recognition Letters;2014-08

5. Two-phase reanalysis model for understanding user intention;Pattern Recognition Letters;2014-06

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