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ml-recall

#lexicalized-pcfg

1 question from NLP Fundamentals

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Question 1: Single choice

hardAI-checkedNLP Fundamentals

A lexicalized PCFG in Chomsky normal form has rules such as S(saw)→NP(man) VP(saw)\mathrm{S}(\textit{saw}) \to \mathrm{NP}(\textit{man})\ \mathrm{VP}(\textit{saw}), where every symbol carries a head word. A CKY-style dynamic program fills a table π[i,j,k,X]\pi[i, j, k, X]: the best probability of a subtree rooted in X(wk)X(w_k) spanning words i…ji \ldots j. For a sentence of nn words and ∣N∣\lvert N \rvert non-terminals, how does its running time grow?

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