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143 research outcomes, page 1 of 15
  • publication . Preprint . Conference object . 2018
    Open Access
    Authors:
    Iyyer, Mohit; Wieting, John; Gimpel, Kevin; Zettlemoyer, Luke;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics (ACL)

    We propose syntactically controlled paraphrase networks (SCPNs) and use them to generate adversarial examples. Given a sentence and a target syntactic form (e.g., a constituency parse), SCPNs are trained to produce a paraphrase of the sentence with the desired syntax. W...

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  • publication . Contribution for newspaper or weekly magazine . Conference object . Preprint . 2019
    Open Access English
    Authors:
    Vasileva, Slavena; Atanasova, Pepa; Màrquez, Lluís; Barrón-Cedeño, Alberto; Nakov, Preslav; Sofia University ”St. Kliment Ohridski”, Bulgaria; University of Copenhagen, Denmark; Amazon Core ML, USA; Universit`a di Bologna, Italy; Qatar Computing Research Institute, HBKU, Qatar;
    Persistent Identifiers
    Publisher: Incoma Ltd
    Countries: Denmark, Italy

    We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates. Given a political debate, such as the 2016 US Presidential and Vice-Presidential ones, the task is to predict which statements in the debate should be prio...

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  • publication . Conference object . Preprint . 2020
    Open Access
    Authors:
    John M. Wu; Yonatan Belinkov; Hassan Sajjad; Nadir Durrani; Fahim Dalvi; James Glass;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    This paper investigates contextual word representation models from the lens of similarity analysis. Given a collection of trained models, we measure the similarity of their internal representations and attention. Critically, these models come from vastly different archi...

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  • publication . Part of book or chapter of book . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Alberto Barrón-Cedeño; Tamer Elsayed; Preslav Nakov; Giovanni Da San Martino; Maram Hasanain; Reem Suwaileh; Fatima Haouari; Nikolay Babulkov; Bayan Hamdan; Alex Nikolov; ...
    Persistent Identifiers
    Country: Italy

    We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic. The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness e...

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

    Online media aim for reaching ever bigger audience and for attracting ever longer attention span. This competition creates an environment that rewards sensational, fake, and toxic news. To help limit their spread and impact, we propose and develop a news toxicity detect...

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  • publication . Conference object . Preprint . 2019
    Open Access
    Authors:
    Fabio Petroni; Tim Rocktäschel; Patrick S. H. Lewis; Anton Bakhtin; Yuxiang Wu; Alexander H. Miller; Sebastian Riedel;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics

    Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training data, and may be able to ...

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  • publication . Conference object . Preprint . 2018
    Open Access English
    Authors:
    Chenyan Xiong; Zhengzhong Liu; Jamie Callan; Tie-Yan Liu;
    Persistent Identifiers
    Project: NSF | III: Small: Using Knowled... (1422676)

    This paper presents a Kernel Entity Salience Model (KESM) that improves text understanding and retrieval by better estimating entity salience (importance) in documents. KESM represents entities by knowledge enriched distributed representations, models the interactions b...

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  • publication . Preprint . Conference object . 2018
    Open Access
    Authors:
    Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert;
    Persistent Identifiers
    Publisher: IEEE

    One of the key limitations of modern deep learning approaches lies in the amount of data required to train them. Humans, by contrast, can learn to recognize novel categories from just a few examples. Instrumental to this rapid learning ability is the compositional struc...

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  • publication . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Krasimira Bozhanova; Yoan Dinkov; Ivan Koychev; Maria Castaldo; Tommaso Venturini; Preslav Nakov;
    Persistent Identifiers

    We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we design a rich set of features derived from the temporal evolution of the number of views, lik...

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  • publication . Conference object . Preprint . 2018
    Open Access English
    Authors:
    Zhong Zhou; Matthias Sperber; Alex Waibel;
    Persistent Identifiers

    We work on translation from rich-resource languages to low-resource languages. The main challenges we identify are the lack of low-resource language data, effective methods for cross-lingual transfer, and the variable-binding problem that is common in neural systems. We...

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143 research outcomes, page 1 of 15