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CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 8: Quiz-1: Wordnet, Sense etc.)

CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 8: Quiz-1: Wordnet, Sense etc.). Pushpak Bhattacharyya CSE Dept., IIT Bombay . Question-1 Six kinds of meronymy are traditionally recognised : Component-Integral Object: wheel-car Member-Collection: tree-forest

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CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 8: Quiz-1: Wordnet, Sense etc.)

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  1. CS626/449 : Speech, NLP and the Web/Topics in AI Programming(Lecture 8: Quiz-1: Wordnet, Sense etc.) Pushpak BhattacharyyaCSE Dept., IIT Bombay

  2. Question-1 • Six kinds of meronymy are traditionally recognised: • Component-Integral Object: wheel-car • Member-Collection: tree-forest • Portion-Mass: slice-pie • Stuff-Object: steel-railway track • Feature-Activity: speech-felicitation • Place-Area: oasis-desert • In the light of this, advance a theory of why transitivity is not universal for meronymy relations. • That is, it is alright to say • Finger is part of arm, arm is part of body=> finger is part of body • But not, • An arm is part of musician, musician is part of orchestra=> arm is part of orchestra • Give 5 more examples of unacceptable meronymy transitivity, each highlighting different aspects and instances of the application of your theory. • Question-2 • Clearly explain how a sequence of words will be marked with senses in a generative model. That is, formulate the question as an argmax computation, clearly explaining how each probability parameter is computed.

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