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CORE Search Results Start Search Over

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  • ASEEES Deposits
  • The Automatic Generation of Contextual Questions and Answers for English Learners

    Author(s):
    Sungjin Ahn, Sung Won Han, Minji Kang (see profile) , Hoyeol Kim, Donghwan Kim
    Date:
    2021
    Group(s):
    ACH 2021
    Subject(s):
    Digital humanities, Machine learning, Teaching
    Item Type:
    Conference poster
    Tag(s):
    BERT, deep learning, GPT-2, T5, transformer, Pedagogy
    Search term matches:
    Tag
    ... deep learning ...

  • Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping

    Author(s):
    Chundra Cathcart, Taraka Rama
    Date:
    2020
    Subject(s):
    Computational linguistics, Historical linguistics
    Item Type:
    Conference proceeding
    Tag(s):
    computational historical linguistics, deep learning, Indo-Aryan, predictions, sound change
    Search term matches:
    Tag
    ... deep learning ...
    Full Text
    ... -Aryan dialectology stands to benefit greatly from the ap- plication of deep learning techniques. This paper seeks ...

  • Retrieving Music Semantics from Optical Music Recognition by Machine Translation

    Author(s):
    Martha E. Thomae
    Editor(s):
    Elsa De Luca (see profile) , Julia Flanders
    Date:
    2020
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Music, Digital humanities, Machine translating
    Item Type:
    Conference paper
    Tag(s):
    music encoding, mir, deep learning, Machine translation
    Search term matches:
    Tag
    ... deep learning ...

  • Deep Learning based Attribute Representation in Ancient Vase Paintings

    Author(s):
    Torsten Bendschus, Prathmesh Madhu (see profile)
    Date:
    2020
    Group(s):
    DH2020
    Subject(s):
    Classical antiquities, Computer vision, Machine learning
    Item Type:
    Video
    Tag(s):
    deep learning, greek vases, scene understanding, Classical archaeology
    Search term matches:
    Title
    ... Deep Learning based Attribute Representation in Ancient Vase Paintings ...
    Tag
    ... deep learning ...

  • Deep Learning Based Attribute Representation in Ancient Vase Paintings

    Author(s):
    Torsten Bendschus, Prathmesh Madhu (see profile)
    Date:
    2020
    Group(s):
    DH2020
    Subject(s):
    Classical antiquities, Computer vision, Machine learning, Narration (Rhetoric)
    Item Type:
    Conference proceeding
    Tag(s):
    deep learning, vases, Classical archaeology, Greek, Narrative
    Search term matches:
    Title
    ... Deep Learning Based Attribute Representation in Ancient Vase Paintings ...
    Tag
    ... deep learning ...
    Full Text
    ... Words Torsten Bendschus, PhD; Prathmesh Madhu, M.Sc Deep Learning based Attribute Representation ...

  • When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks

    Author(s):
    Wei-Ting Chang, Chang-Ting Chu, CHAO-LIN LIU (see profile) , Ti-Yong Zheng
    Date:
    2020
    Group(s):
    DH2020, Digital Humanists
    Subject(s):
    Artificial intelligence, China, Educaton, Digital humanities, Research, Methodology, Machine learning, Natural language processing (Computer science)
    Item Type:
    Video
    Tag(s):
    deep learning, explainable artificial intelligence, information extraction, text mining, Chinese studies, Digital humanities research and methodology, Natural language processing
    Search term matches:
    Tag
    ... deep learning ...

Viewing item 1 to 6 (of 6 items)

  • Author
    • Antonio Ríos-Vila 1X
    • CHAO-LIN LIU 1X
    • Chang-Ting Chu 1X
    • Chundra Cathcart 1X
    • David Rizo 1X
    • Donghwan Kim 1X
    • Elsa De Luca 1X
    • Hoyeol Kim 1X
    • Jorge Calvo-Zaragoza 1X
    • José M. Iñesta 1X
    • Julia Flanders 1X
    • Martha E. Thomae 1X
    • Minji Kang 1X
    • Prathmesh Madhu 2X
    • Ronak Kosti 1X
    • Sung Won Han 1X
    • Sungjin Ahn 1X
    • Taraka Rama 1X
    • Ti-Yong Zheng 1X
    • Torsten Bendschus 2X
    • Wei-Ting Chang 1X
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  • Group
    • ACH 2021 1X
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    • Digital Humanists 1X
    • Music Encoding Initiative 1X
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  • Subject
    • Machine learning 4X
    • Machine translating 1X
    • Methodology 1X
    • Music 1X
    • Narration (Rhetoric) 1X
    • Natural language processing (Computer science) 1X
    • Research 1X
    • Teaching 1X
    • China 1X
    • Artificial intelligence 1X
    • Classical antiquities 2X
    • Computational linguistics 1X
    • Computer vision 2X
    • Educaton 1X
    • Historical linguistics 1X
    • Digital humanities 3X
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  • Item Type
    • Conference paper 1X
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    • Conference proceeding 2X
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  • Date
    • 2021 1X
    • 2020 5X
  • File Type
    • Mixed material 1X
    • Text 2X
    • Video 2X
    • more>>
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