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- W2724881567 abstract "In this report, some collaborative work between the fields of Machine Learning (ML) and Natural Language Processing (NLP)is presented. The document is structured in two parts. The first part includes a superficial but comprehensive survey coveringthe state-of-the-art of machine learning techniques applied to natural language learning tasks. In the second part, a particularproblem, namely Word Sense Disambiguation (WSD), is studied in more detail. In doing so, four algorithms for supervisedlearning, which belong to different families, are compared in a benchmark corpus for the WSD task. Both qualitative andquantitative conclusions are drawn." @default.
- W2724881567 created "2017-07-14" @default.
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- W2724881567 date "2000-07-01" @default.
- W2724881567 modified "2023-09-23" @default.
- W2724881567 title "Machine learning and natural language processing" @default.
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