504 research outputs found

    Brand-Product Relation Extraction Corpora

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    Brand-Product Relation Extraction Using Heterogeneous Vector SpaceRepresentations, Janz, A., Piasecki, M., Kopociński, Ł., Pluwak, A

    Wiki train - 34 categories

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    Wikipedia, 34 kategorie - zbiór do uczenia klasyfikator

    Big Data language model - second version - ARPA

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    Big Data language model - second version - ARP

    Big Data language model - subword - BPE - RAW

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    Big data language model based on subword units, based on byte pair encoding in RAW forma

    KPWr n82 NER model (on Polish RoBERTa base)

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    The named entity recognition model for fine-grained categories of entities (82 types) was trained on the KPWr corpus using Polish RoBERTa base language model. Details can be found on the following page: https://github.com/mczuk/xlm-roberta-ne

    Big Data language model in FastText CBOW format

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    Big Data language model in FastText CBOW forma

    KGR10-RoBERTa

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    Polish RoBERTa model pre-trained on KGR10 corpora

    Speech acts in message board posts

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    Corpus of texts from message boards used to annotating speech acts and local grammar

    Big Data language model in FastText Skip-gram format.

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    Big Data language model in FastText Skip-gram format

    Wikinews_luty_marzec_2020

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    Test corpus _ 3_03_2

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    CLARIN-PL
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