Skip to content
  • About
    • HASTAC Scholars
    • Conferences
    • Staff
    • History of HASTAC
    • Leadership
    • Core Values
  • Go To…
    • Members
    • Groups
    • Sites
    • CORE Repository
  • Help & Support
  • Organizations
    • HC
    • ARLIS/NA
    • AUPresses
    • MLA
    • MSU
    • SAH
Register Log In
HASTAC Commons

CORE Search Results Start Search Over

  • All Deposits 0
  • HASTAC 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)
HUMANITIES COMMONS. BASED ON COMMONS IN A BOX.
TERMS OF SERVICE • PRIVACY POLICY • GUIDELINES FOR PARTICIPATION
This site is part of the HASTAC network on Humanities Commons. Explore other sites on this network or register to build your own.
Terms of ServicePrivacy PolicyGuidelines for Participation

@

Not recently active