Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nam, Jinseok"'
Autor:
Mannekote, Amogh, Nam, Jinseok, Li, Ziming, Gao, Jian, Boyer, Kristy Elizabeth, Dorr, Bonnie J.
Indirect User Requests (IURs), such as "It's cold in here" instead of "Could you please increase the temperature?" are common in human-human task-oriented dialogue and require world knowledge and pragmatic reasoning from the listener. While large lan
Externí odkaz:
http://arxiv.org/abs/2406.07794
Skill routing is an important component in large-scale conversational systems. In contrast to traditional rule-based skill routing, state-of-the-art systems use a model-based approach to enable natural conversations. To provide supervision signal req
Externí odkaz:
http://arxiv.org/abs/2204.07135
Autor:
Li, Han, Park, Sunghyun, Dara, Aswarth, Nam, Jinseok, Lee, Sungjin, Kim, Young-Bum, Matsoukas, Spyros, Sarikaya, Ruhi
Current state-of-the-art large-scale conversational AI or intelligent digital assistant systems in industry comprises a set of components such as Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU). For some of these systems t
Externí odkaz:
http://arxiv.org/abs/2103.03373
Autor:
Nam, Jinseok
Multi-label classification (MLC) is the task of predicting a set of labels for a given input instance. A key challenge in MLC is how to capture underlying structures in label spaces. Due to the computational cost of learning from all possible label c
Autor:
Nam, Jinseok, Fürnkranz, Johannes
An important problem in multi-label classification is to capture label patterns or underlying structures that have an impact on such patterns. This paper addresses one such problem, namely how to exploit hierarchical structures over labels. We presen
Externí odkaz:
http://arxiv.org/abs/1412.6881
Publikováno v:
Proceedings ECML/PKDD (2) 2014: 437-452
Neural networks have recently been proposed for multi-label classification because they are able to capture and model label dependencies in the output layer. In this work, we investigate limitations of BP-MLL, a neural network (NN) architecture that
Externí odkaz:
http://arxiv.org/abs/1312.5419
Autor:
Nam, Jinseok, Kirschner, Christian, Ma, Zheng, Erbs, Nicolai, Neumann, Susanne, Oelke, Daniela, Remus, Steffen, Biemann, Chris, Eckle-Kohler, Judith, Fürnkranz, Johannes, Gurevych, Iryna, Rittberger, Marc, Weihe, Karsten
Publikováno v:
Ruppenhofer, Josef [Hrsg.]; Faaß, Gertrud [Hrsg.]: Proceedings of the 12th edition of the KONVENS Conference. Hildesheim : Universitätsverlag Hildesheim 2014, S. 66-76
Digital libraries allow us to organize a vast amount of publications in a structured way and to extract information of user's interest. In order to support customized use of digital libraries, we develop novel methods and techniques in the Knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfe880222cce42b72ab05b46f43adb66
https://www.pedocs.de/volltexte/2020/18232/
https://www.pedocs.de/volltexte/2020/18232/
Autor:
Nam, Jinseok, Bergmann, Kirsten, Waltinger, Ulli, Kopp, Stefan, Wachsmuth, Ipke, Zhang, Byoung-Tak
Publikováno v:
PUB-Publications at Bielefeld University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::37a449364fa3400060bf496bcf6f234b
https://pub.uni-bielefeld.de/record/2634598
https://pub.uni-bielefeld.de/record/2634598
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I; 2015, p102-118, 17p
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II; 2014, p437-452, 16p