: Vocabulario de PLN: machine learning approach

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machine learning approach

Finally some machine learning approaches have been implemented but are still uncommon in the field of ontology alignment. (Bento, Zouaq & Gagnon, 2020)
Some researchers followed the machine learning approach and modeled the summarization process as a classification problem (i.e. the sentences are classified as summary and nonsummary sentences). (Qassem, Wang, Barada, Al-Rubaie & Almoosa, 2019)
The machine learning approach has been the one most widely studied during the last decade and many methods were proposed to extract values of product attributes (Nagy and Farkas 2012; Jagannatha and Yu 2016). (Homma, Sadamitsu, Nishida, Higashinaka, Asano & Matsuo, 2016)
Third machine learning approaches are used to compute multiple lexical semantic and syntactic features to classify each sentence pair's similarity. (Tayyar Madabushi, Buhagiar & Lee, 2016)
We present a machine learning approach for integrating these conversational features with the text-based segmentation module. (Galley, McKeown, Fosler-Lussier & Jing, 2003)

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