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Digital Humanities and Cultural Heritage Publications SG

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Digital Humanities and Cultural Heritage Publications SG

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142 research outcomes, page 1 of 15
  • publication . Preprint . Part of book or chapter of book . 2021
    Open Access English
    Authors:
    Zhiqiang Hu; Roy Ka-Wei Lee; Lei Wang; Ee-Peng Lim; Bo Dai;
    Persistent Identifiers

    Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications. Recent works have shown that deep learning methods could achieve significant accuracy improvement for the AA ta...

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  • publication . Conference object . Preprint . 2021
    Open Access
    Authors:
    Jiaqi Li; Ming Liu; Min-Yen Kan; Zihao Zheng; Zekun Wang; Wenqiang Lei; Ting Liu; Bing Qin;
    Persistent Identifiers
    Publisher: International Committee on Computational Linguistics

    Research into the area of multiparty dialog has grown considerably over recent years. We present the Molweni dataset, a machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog. Molweni's source samples from the Ubuntu Chat Corpu...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Zhengyuan Liu; Ke Shi; Nancy F. Chen;
    Persistent Identifiers
    Publisher: International Committee on Computational Linguistics

    Comment: Published in COLING2020

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  • publication . Preprint . Part of book or chapter of book . 2020
    Open Access English
    Authors:
    Liming Jiang; Changxu Zhang; Mingyang Huang; Chunxiao Liu; Jianping Shi; Chen Change Loy;
    Persistent Identifiers

    Comment: ECCV 2020 (Spotlight). Table 2 is updated. GitHub: https://github.com/EndlessSora/TSIT

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Boon Peng Yap; Andrew Koh; Eng Siong Chng;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Domain adaptation or transfer learning using pre-trained language models such as BERT has proven to be an effective approach for many natural language processing tasks. In this work, we propose to formulate word sense disambiguation as a relevance ranking task, and fine...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Yanyan Zou; Xingxing Zhang; Wei Lu; Furu Wei; Ming Zhou;
    Persistent Identifiers

    Abstractive document summarization is usually modeled as a sequence-to-sequence (Seq2Seq) learning problem. Unfortunately, training large Seq2Seq based summarization models on limited supervised summarization data is challenging. This paper presents three pre-training o...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Tasnim Mohiuddin; M Saiful Bari; Shafiq R. Joty;
    Persistent Identifiers

    Most of the successful and predominant methods for bilingual lexicon induction (BLI) are mapping-based, where a linear mapping function is learned with the assumption that the word embedding spaces of different languages exhibit similar geometric structures (i.e., appro...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Yan Zhang; Ruidan He; Zuozhu Liu; Kwan Hui Lim; Lidong Bing;
    Persistent Identifiers

    BERT is inefficient for sentence-pair tasks such as clustering or semantic search as it needs to evaluate combinatorially many sentence pairs which is very time-consuming. Sentence BERT (SBERT) attempted to solve this challenge by learning semantically meaningful repres...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Bosheng Ding; Linlin Liu; Lidong Bing; Canasai Kruengkrai; Thien Hai Nguyen; Shafiq Joty; Luo Si; Chunyan Miao;
    Persistent Identifiers

    Comment: Accepted by EMNLP 2020

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  • publication . Preprint . Article . 2020
    Open Access English
    Authors:
    Hui Chen; Deepanway Ghosal; Navonil Majumder; Amir Hussain; Soujanya Poria;
    Persistent Identifiers

    Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies. Due to its potential application in persuasive dialogue systems, the task of persuasive strategy recognition has gained much attention lately. Prev...

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142 research outcomes, page 1 of 15