Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Euisok Chung"'
Publikováno v:
ETRI Journal, Vol 46, Iss 2, Pp 277-289 (2024)
In this paper, we describe a neural network-based application that recommends multiple items using dialog context input and simultaneously outputs a response sentence. Further, we describe a multi-item recommendation by specifying it as a set of clot
Externí odkaz:
https://doaj.org/article/bda3fefe633f4fb089f19359579efa03
Publikováno v:
ETRI Journal, Vol 44, Iss 4, Pp 599-612 (2022)
This study focuses on improving a word embedding model to enhance the performance of downstream tasks, such as those of dialog systems. To improve traditional word embedding models, such as skip-gram, it is critical to refine the word features and ex
Externí odkaz:
https://doaj.org/article/4d450f3fd5af446f9741145e03d37771
Autor:
Byunghyun Yoo, Devarani Devi Ningombam, Sungwon Yi, Hyun Woo Kim, Euisok Chung, Ran Han, Hwa Jeon Song
Publikováno v:
IEEE Access, Vol 10, Pp 47741-47753 (2022)
Although recent years witnessed notable success for a cooperative setting in multi-agent reinforcement learning (MARL), efficient explorations are still challenging primarily due to the complex dynamics of inter-agent interactions constituting the hi
Externí odkaz:
https://doaj.org/article/2c52b19cd0694122b162961de7740579
Autor:
Euisok Chung, Jeon Gue Park
Publikováno v:
ETRI Journal, Vol 39, Iss 4, Pp 455-466 (2017)
This study focuses on a method for sequential data augmentation in order to alleviate data sparseness problems. Specifically, we present corpus expansion techniques for enhancing the coverage of a language model. Recent recurrent neural network studi
Externí odkaz:
https://doaj.org/article/2783d2c5ac17465caa8a35ab86efb419
Publikováno v:
IJCNN
In this paper, we propose a deep neural network (DNN) model parameter reduction technique for an efficient acoustic model. One of the most common DNN model parameter reduction techniques is to use low-rank matrix approximation. Although it can reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f127df5d7e7152b29f9f6f87b43c1d0b
https://doi.org/10.1109/ijcnn.2019.8852021
https://doi.org/10.1109/ijcnn.2019.8852021
Autor:
Euisok Chung, Jeon-Gue Park
Publikováno v:
KIISE Transactions on Computing Practices. 22:315-319
Recurrent neural network based language models (RNN LM) have shown improved results in language model researches. The RNN LMs are limited to post processing sessions, such as the N-best rescoring step of the wFST based speech recognition. However, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35adbf0f7497abf2f4eb05d03e43af5b
https://doi.org/10.5626/ktcp.2016.22.7.315
https://doi.org/10.5626/ktcp.2016.22.7.315
Autor:
Yun-Kyung Lee, Oh-Woog Kwon, Jeon Gue Park, Yoon-Hyung Roh, Hyung-Bae Jeon, Yunkeun Lee, Sung-Kwon Choi, Ki-Young Lee, Huang Jinxia, Byung Ok Kang, Euisok Chung, Yoo Rhee Oh, Young-Kil Kim
Publikováno v:
Natural Language Dialog Systems and Intelligent Assistants ISBN: 9783319192901
IWSDS
IWSDS
This paper introduces a computer-assisted second-language learning system using spoken language understanding. The system consists of automatic speech recognition, semantic/grammar correction evaluation, and tutoring module. The speech recognition is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f007cff42c59b1924caba98e014188d7
https://doi.org/10.1007/978-3-319-19291-8_26
https://doi.org/10.1007/978-3-319-19291-8_26
Publikováno v:
Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop ISBN: 9781461413349
IWSDS
IWSDS
This paper introduces a domain-adapted word segmentation approach to text where a word delimiter is not used regularly. It depends on an unknown word extraction technique. This approach is essential for language modeling to adapt to new domains since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be2ea1445f8916396f961f9ad65b5a23
https://doi.org/10.1007/978-1-4614-1335-6_9
https://doi.org/10.1007/978-1-4614-1335-6_9
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::925789f210f72908cbacb644ba44c703
https://doi.org/10.21437/interspeech.2004-45
https://doi.org/10.21437/interspeech.2004-45
Publikováno v:
IRAL
Named entity recognition is important in sophisticated information service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on the named entity type. Therefore we focus on named entity recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fd1df8e05d24dae9b3100f9dd8fd3d6
https://doi.org/10.3115/1118935.1118956
https://doi.org/10.3115/1118935.1118956