Sökning: "distributionella semantiska modeller"

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  1. 1. Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Jimmy Callin; [2017]
    Nyckelord :machine learning; neural networks; word representations; word embeddings; distributional semantic models; word vectors; discourse parsing; shallow discourse parsing; maskininlärning; neurala nätverk; ordrepresentationer; distributionella semantiska modeller; diskursparsning;

    Sammanfattning : CoNLL 2015 featured a shared task on shallow discourse parsing. In 2016, the efforts continued with an increasing focus on sense classification. In the case of implicit sense classification, there was an interesting mix of traditional and modern machine learning classifiers using word representation models. LÄS MER