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459 research outcomes, page 1 of 46
  • publication . Conference object . Preprint . 2021
    Open Access
    Authors:
    Shi-Yan Weng; Tien-Hong Lo; Berlin Chen;
    Persistent Identifiers
    Publisher: IEEE

    Tremendous amounts of multimedia associated with speech information are driving an urgent need to develop efficient and effective automatic summarization methods. To this end, we have seen rapid progress in applying supervised deep neural network-based methods to extrac...

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  • publication . Other literature type . Article . 2021
    Open Access English
    Authors:
    M. Leupold; M. Pfeiffer; T. K. Watanabe; L. Reuning; D. Garbe-Schönberg; C.-C. Shen; C.-C. Shen; C.-C. Shen; G.-J. A. Brummer;
    Persistent Identifiers

    <p>The dominant modes of climate variability on interannual timescales in the tropical Indian Ocean are the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole. El Niño events have occurred more frequently during recent decades, and it has been suggested tha...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Won Ik Cho; Young Ki Moon; Sangwhan Moon; Seok Min Kim; Nam Soo Kim;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Comment: Findings of ACL: EMNLP 2020

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Seungjae Shin; Kyungwoo Song; JoonHo Jang; Hye Mi Kim; Weonyoung Joo; Il-Chul Moon;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Recent research demonstrates that word embeddings, trained on the human-generated corpus, have strong gender biases in embedding spaces, and these biases can result in the discriminative results from the various downstream tasks. Whereas the previous methods project wor...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    David Chiang; Sung-Feng Huang; Hung-yi Lee;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    While behaviors of pretrained language models (LMs) have been thoroughly examined, what happened during pretraining is rarely studied. We thus investigate the developmental process from a set of randomly initialized parameters to a totipotent language model, which we re...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Yun-Hsuan Jen; Chieh-Yang Huang; Mei-Hua Chen; Ting-Hao Kenneth Huang; Lun-Wei Ku;
    Persistent Identifiers

    Comment: 9 pages, to appear in EMNLP 2020 as a long paper

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  • publication . Article . Preprint . Other literature type . 2020
    Open Access English
    Authors:
    Gihyeon Choi; Shinhyeok Oh; Harksoo Kim;
    Persistent Identifiers
    Publisher: MDPI AG

    Previous researchers have considered sentiment analysis as a document classification task, in which input documents are classified into predefined sentiment classes. Although there are sentences in a document that support important evidences for sentiment analysis and s...

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  • publication . Article . Other literature type . 2020
    Open Access English
    Authors:
    D. Choudhury; D. Choudhury; A. Timmermann; A. Timmermann; F. Schloesser; M. Heinemann; D. Pollard;
    Persistent Identifiers
    Publisher: Copernicus Publications

    <p>It is widely accepted that orbital variations are responsible for the generation of glacial cycles during the late Pleistocene. However, the relative contributions of the orbital forcing compared to <span class="inline-formula">CO<sub>2</sub></span> variations and ot...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Shang-Yu Su; Yung-Sung Chuang; Yun-Nung Chen;
    Persistent Identifiers

    Natural language understanding (NLU) and Natural language generation (NLG) tasks hold a strong dual relationship, where NLU aims at predicting semantic labels based on natural language utterances and NLG does the opposite. The prior work mainly focused on exploiting the...

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  • publication . Article . Preprint . 2020
    Open Access English
    Authors:
    Hyun Dong Lee; Seongmin Lee; U Kang;
    Persistent Identifiers
    Publisher: Public Library of Science

    How can we effectively regularize BERT? Although BERT proves its effectiveness in various NLP tasks, it often overfits when there are only a small number of training instances. A promising direction to regularize BERT is based on pruning its attention heads with a proxy...

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459 research outcomes, page 1 of 46