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106 research outcomes, page 1 of 11
  • publication . Conference object . Preprint . 2019
    Open Access
    Authors:
    Jakob Prange; Nathan Schneider; Omri Abend;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics
    Project: NSF | NSF-BSF: RI: Small: Colla... (1812778)

    Comment: Accepted to The First International Workshop on Designing Meaning Representations (DMR), 2019 (in conjunction with ACL 2019)

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Aakanksha Naik; Carolyn Penstein Rosé;
    Persistent Identifiers

    We tackle the task of building supervised event trigger identification models which can generalize better across domains. Our work leverages the adversarial domain adaptation (ADA) framework to introduce domain-invariance. ADA uses adversarial training to construct repr...

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  • publication . Preprint . Part of book or chapter of book . 2020
    Open Access English
    Authors:
    Yang Zou; Xiaodong Yang; Zhiding Yu; B. V. K. Vijaya Kumar; Jan Kautz;
    Persistent Identifiers

    Comment: ECCV 2020 (Oral)

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  • publication . Conference object . Preprint . 2019
    Open Access
    Authors:
    Xian Li; Paul Michel; Antonios Anastasopoulos; Yonatan Belinkov; Nadir Durrani; Orhan Firat; Philipp Koehn; Graham Neubig; Juan Pino; Hassan Sajjad;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    We share the findings of the first shared task on improving robustness of Machine Translation (MT). The task provides a testbed representing challenges facing MT models deployed in the real world, and facilitates new approaches to improve models; robustness to noisy inp...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    Frank F. Xu; Lei Ji; Botian Shi; Junyi Du; Graham Neubig; Yonatan Bisk; Nan Duan;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Comment: Accepted by NLP Beyond Text - First International Workshop on Natural Language Processing Beyond Text @ EMNLP 2020

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  • publication . Preprint . Conference object . 2019
    Open Access English
    Authors:
    Prathyusha Jwalapuram; Shafiq Joty; Irina Temnikova; Preslav Nakov;
    Persistent Identifiers

    The ongoing neural revolution in machine translation has made it easier to model larger contexts beyond the sentence-level, which can potentially help resolve some discourse-level ambiguities such as pronominal anaphora, thus enabling better translations. Unfortunately,...

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  • publication . Conference object . Preprint . 2019
    Open Access
    Authors:
    Rosenthal, Sara; Nakov, Preslav; Ritter, Alan; Stoyanov, Veselin;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics (ACL)

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

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  • publication . Preprint . Conference object . Other literature type . 2019
    Open Access English
    Authors:
    Kurita, Keita; Vyas, Nidhi; Ayush Pareek; Black, Alan W; Tsvetkov, Yulia;
    Project: NSF | NSF-BSF: RI: Small: Colla... (1812327)

    Contextual word embeddings such as BERT have achieved state of the art performance in numerous NLP tasks. Since they are optimized to capture the statistical properties of training data, they tend to pick up on and amplify social stereotypes present in the data as well....

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  • publication . Preprint . Article . 2020
    Open Access English
    Authors:
    Abdul Rafae Khan; Asim Karim; Hassan Sajjad; Faisal Kamiran; Jia Xu;
    Persistent Identifiers
    Project: NSF | IUCRC Phase I Rutgers, Ne... (1747728)

    Abstract Roman Urdu is an informal form of the Urdu language written in Roman script, which is widely used in South Asia for online textual content. It lacks standard spelling and hence poses several normalization challenges during automatic language processing. In this...

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  • publication . Preprint . Conference object . 2019
    Open Access English
    Authors:
    Momchil Hardalov; Ivan Koychev; Preslav Nakov;
    Persistent Identifiers

    Recently, reading comprehension models achieved near-human performance on large-scale datasets such as SQuAD, CoQA, MS Macro, RACE, etc. This is largely due to the release of pre-trained contextualized representations such as BERT and ELMo, which can be fine-tuned for t...

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106 research outcomes, page 1 of 11