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Disambiguation of "Chen, Yun-Nung"

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Unsupervised user intent modeling by feature-enriched matrix factorization.

, , , and . ICASSP, page 6150-6154. IEEE, (2016)

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Jingshan Chen University of Stuttgart

Optimization-based trajectory planning for transport collaboration of heterogeneous systems, , , and . Automatisierungstechnik, 72 (2): 80-90 (2024)

Univ. -Prof. Dr. Po Wen Cheng University of Stuttgart

The Impact of Unsteadiness on the Aerodynamic Loads of a Floating Offshore Wind Turbine, , , , and . EERA Deepwind Conference 2023, 2626, page 012064. Institute of Physics, (2023)

Hong Chen University of Stuttgart

Yiyin Chen University of Stuttgart

Jun Chen University of Stuttgart

 

Other publications of authors with the same name

Automatic key term extraction from spoken course lectures using branching entropy and prosodic/semantic features., , , and . SLT, page 265-270. IEEE, (2010)Integrating Intra-Speaker Topic Modeling and Temporal-Based Inter-Speaker Topic Modeling in Random Walk for Improved Multi-Party Meeting Summarization., and . INTERSPEECH, page 2346-2349. ISCA, (2012)Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing., , and . ASRU, page 120-125. IEEE, (2013)Real-time On-Demand Crowd-powered Entity Extraction., , and . CoRR, (2017)xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks., , , and . CoRR, (2018)Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning., , , and . IJCNLP(2), page 163-168. Asian Federation of Natural Language Processing, (2017)Natural Language Generation by Hierarchical Decoding with Linguistic Patterns., , , and . NAACL-HLT (2), page 61-66. Association for Computational Linguistics, (2018)Slot-Gated Modeling for Joint Slot Filling and Intent Prediction., , , , , , and . NAACL-HLT (2), page 753-757. Association for Computational Linguistics, (2018)Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk., and . HLT-NAACL, page 377-381. The Association for Computational Linguistics, (2012)Detecting actionable items in meetings by convolutional deep structured semantic models., , and . ASRU, page 375-382. IEEE, (2015)