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10 research outcomes, page 1 of 1
  • publication . Preprint . Conference object . Contribution for newspaper or weekly magazine . 2018
    Open Access English
    Authors:
    Ahmed Ali; Stephan Vogel; Steve Renals;
    Project: EC | SUMMA (688139)

    This paper describes the Arabic MGB-3 Challenge — Arabic Speech Recognition in the Wild. Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on more than 1,200 hours broadcast TV news recordings from Aljazeera Arabic TV programs, MGB-3 em...

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  • publication . Conference object . 2017
    Open Access English
    Authors:
    Azad Abad; Moin Nabi; Alessandro Moschitti;
    Persistent Identifiers
    Publisher: ACM
    Project: EC | CogNet (671625)

    In this paper, we introduce a general iterative human-machine collaborative method for training crowdsource workers: the classifier (i.e., the machine) selects the highest quality examples for training the crowdsource workers (i.e., the humans). Then, the latter annotat...

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  • publication . Conference object . 2017
    Open Access English
    Authors:
    Massimo Nicosia; Alessandro Moschitti;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics (ACL)
    Project: EC | CogNet (671625)

    Tree kernels (TKs) and neural networks are two effective approaches for automatic feature engineering. In this paper, we combine them by modeling context word similarity in semantic TKs. This way, the latter can operate subtree matching by applying neural-based similari...

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  • publication . Conference object . 2016
    Open Access English
    Authors:
    Tymoshenko, Kateryna; Bonadiman, Daniele; Moschitti, Alessandro;
    Persistent Identifiers
    Publisher: ACM Press
    Project: EC | CogNet (671625)

    Recent initiatives in IR community have shown the importance of going beyond factoid Question Answering (QA) in order to design useful real-world applications. Questions asking for descriptions or explanations are much more difficult to be solved, e.g., the machine lear...

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  • publication . Preprint . Conference object . Contribution for newspaper or weekly magazine . 2016
    Open Access English
    Authors:
    Ahmed Ali; Peter Bell; James Glass; Yacine Messaoui; Hamdy Mubarak; Steve Renals; Yifan Zhang;
    Project: EC | SUMMA (688139)

    This paper describes the Arabic Multi-Genre Broadcast (MGB-2) Challenge for SLT-2016. Unlike last year’s English MGB Challenge, which focused on recognition of diverse TV genres, this year, the challenge has an emphasis on handling the diversity in dialect in Arabic spe...

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  • publication . Preprint . Conference object . Contribution for newspaper or weekly magazine . 2016
    Open Access English
    Authors:
    Ali, Ahmed; Dehak, Najim; Cardinal, Patrick; Khurana, Sameer; Yella, Sree Harsha; Glass, James; Bell, Peter; Renals, Steve;
    Project: EC | SUMMA (688139)

    In this paper, we investigate different approaches for dialect identification in Arabic broadcast speech. These methods are based on phonetic and lexical features obtained from a speech recognition system, and bottleneck features using the i-vector framework. We studied...

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  • publication . Conference object . 2016
    Open Access English
    Authors:
    Alberto Barrón-Cedeño; Giovanni Da San Martino; Shafiq Joty; Alessandro Moschitti; Fahad Al-Obaidli; Salvatore Romeo; Kateryna Tymoshenko; Antonio Uva;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics
    Project: EC | CogNet (671625)
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  • publication . Conference object . 2016
    Open Access English
    Authors:
    Simone Filice; Danilo Croce; Alessandro Moschitti; Roberto Basili;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics (ACL)
    Project: EC | CogNet (671625)
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  • publication . Part of book or chapter of book . Conference object . 2016
    Open Access English
    Authors:
    Tymoshenko, Kateryna; Bonadiman, Daniele; Moschitti, Alessandro;
    Persistent Identifiers
    Publisher: Association for Computational Linguistics ACL
    Project: EC | CogNet (671625)

    In this paper, we study, compare and combine two state-of-the-art approaches to automatic feature engineering: Convolution Tree Kernels (CTKs) and Convolutional Neural Networks (CNNs) for learning to rank answer sentences in a Question Answering (QA) setting. When deali...

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  • publication . Conference object . 2015
    Closed Access English
    Authors:
    Kateryna Tymoshenko; Alessandro Moschitti;
    Persistent Identifiers
    Publisher: ACM
    Project: EC | CogNet (671625)

    In this paper, we extensively study the use of syntactic and semantic structures obtained with shallow and deeper syntactic parsers in the answer passage reranking task. We propose several dependency-based structures enriched with Linked Open Data (LD) knowledge for rep...

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10 research outcomes, page 1 of 1