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19 research outcomes, page 1 of 2
  • publication . Article . Other literature type . 2020
    Open Access English
    Authors:
    F. J. Rufián Fernández; M. Fernández Díaz; I. Sabrine; I. Sabrine; J. J. Ibáñez; B. Claramunt-López; B. Claramunt-López; A. Escobar; J. A. González Zarandona; J. A. González Zarandona;
    Publisher: Copernicus Publications

    <jats:p>Abstract. This paper aims to highlight the importance of fast and safe documentation of the damage to cultural heritage after a natural or anthropic catastrophe, with greater relevance of civil society. In these situations, in which humanitarian aid to the popul...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Zhi Li; Bo Wu; Qi Liu; Likang Wu; Hongke Zhao; Tao Mei;
    Persistent Identifiers
    Publisher: International Joint Conferences on Artificial Intelligence Organization

    Complementary recommendations, which aim at providing users product suggestions that are supplementary and compatible with their obtained items, have become a hot topic in both academia and industry in recent years. %However, it is challenging due to its complexity and ...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Faisal Ladhak; Bryan Li; Yaser Al-Onaizan; Kathleen R. McKeown;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Comment: ACL 2020

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  • publication . Preprint . Other literature type . Conference object . 2019
    Open Access English
    Authors:
    Sara Rosenthal; Alan Ritter; Preslav Nakov; Veselin Stoyanov;
    Persistent Identifiers

    Comment: Sentiment analysis, microblog sentiment analysis, Twitter opinion mining, sarcasm, LiveJournal, SMS

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  • publication . Conference object . Preprint . Other literature type . 2019
    Open Access
    Authors:
    Sara Rosenthal; Preslav Nakov; Svetlana Kiritchenko; Saif M. Mohammad; Alan Ritter; Veselin Stoyanov;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter. This was the most popular sentiment analysis shared task to date with more than 40 teams participating in each of the last three years. This year's shared task com...

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  • publication . Conference object . Preprint . 2019
    Open Access
    Authors:
    Yao Fu; Hao Zhou; Jiaze Chen; Lei Li;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Text attribute transfer is modifying certain linguistic attributes (e.g. sentiment, style, authorship, etc.) of a sentence and transforming them from one type to another. In this paper, we aim to analyze and interpret what is changed during the transfer process. We star...

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  • publication . Preprint . Conference object . 2019
    Open Access English
    Authors:
    Tongfei Chen; Zhengping Jiang; Adam Poliak; Keisuke Sakaguchi; Benjamin Van Durme;
    Persistent Identifiers

    We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct prediction of subjective probability assessments. We demonstrate the feasibility of collecti...

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  • publication . Other literature type . Article . 2019
    Open Access
    Authors:
    Chien-Hsiang Lin; Brigida De Gracia; Michele E. R. Pierotti; Allen H. Andrews; Katie Griswold; Aaron O'Dea;
    Persistent Identifiers
    Publisher: Public Library of Science (PLoS)

    Little is known about long-term changes in coral reef fish communities. Here we present a new technique that leverages fish otoliths in reef sediments to reconstruct coral reef fish communities. We found over 5,400 otoliths in 169 modern and mid-Holocene bulk samples fr...

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  • publication . Preprint . Conference object . 2018
    Open Access English
    Authors:
    Rizwan Parvez; Saikat Chakraborty; Baishakhi Ray; Kai-Wei Chang;
    Persistent Identifiers
    Project: NSF | CRII: RI: Learning Struct... (1760523)

    Text in many domains involves a significant amount of named entities. Predict- ing the entity names is often challenging for a language model as they appear less frequent on the training corpus. In this paper, we propose a novel and effective approach to building a disc...

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  • publication . Preprint . Other literature type . Conference object . 2018
    Open Access English
    Authors:
    Li Wang; Junlin Yao; Yunzhe Tao; Li Zhong; Wei Liu; Qiang Du;
    Persistent Identifiers

    In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS2S) model and using self-critical sequence training (SCST) for optimization. Through joint...

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19 research outcomes, page 1 of 2