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8 research outcomes, page 1 of 1
  • publication . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Valentina Pyatkin; Shoval Sadde; Aynat Rubinstein; Paul Portner; Reut Tsarfaty;
    Persistent Identifiers
    Project: EC | NLPRO (677352)

    Modality is the linguistic ability to describe events with added information such as how desirable, plausible, or feasible they are. Modality is important for many NLP downstream tasks such as the detection of hedging, uncertainty, speculation, and more. Previous studie...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego; Nicola Tonellotto; Ophir Frieder;
    Persistent Identifiers
    Publisher: ACM
    Country: Italy
    Project: EC | BigDataGrapes (780751)

    In a conversational context, a user expresses her multi-faceted information need as a sequence of natural-language questions, i.e., utterances. Starting from a given topic, the conversation evolves through user utterances and system replies. The retrieval of documents r...

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  • publication . Preprint . Conference object . Contribution for newspaper or weekly magazine . 2018
    Open Access English
    Authors:
    Ahmed Ali; Stephan Vogel; Steve Renals;
    Publisher: IEEE
    Country: United Kingdom
    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
    Country: Italy
    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
    Country: Italy
    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 . Part of book or chapter of book . Conference object . 2016
    Open Access English
    Authors:
    Timoshenko, Kateryna; Bonadiman, Daniele; Moschitti, Alessandro;
    Persistent Identifiers
    Publisher: ACM Press
    Country: Italy
    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 . Conference object . Preprint . 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;
    Country: United Kingdom
    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 . Conference object . Preprint . Contribution for newspaper or weekly magazine . 2016
    Open Access English
    Authors:
    Ahmed Ali; Najim Dehak; Patrick Cardinal; Sameer Khurana; Sree Harsha Yella; James Glass; Peter Bell; Steve Renals;
    Country: United Kingdom
    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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8 research outcomes, page 1 of 1