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Titlebook: Natural Language Processing: The PLNLP Approach; Karen Jensen,George E. Heidorn,Stephen D. Richards Book 1993 Springer Science+Business Me

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Experience with an Easily Computed Metric for Ranking Alternative Parses,ity of alternative parses. In its simplest form, the metric tends to prefer trees in which constituents are pushed as far down as possible, but by appropriate modification of a constant in the formula other behavior can be obtained also. The chapter includes an introduction to the Epistle system dev
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Parse Fitting and Prose Fixing,ed by Epistle, the forerunner of Critique. Misspellings are highlighted by a standard spelling checker; syntactic errors are detected and corrections are suggested; and stylistic infelicities are called to the user’s attention. Central to the processing strategy is the technique of .. When the rules
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A Semantic Expert Using an Online Standard Dictionary, receives as input a syntactic sentence parse provided by the general-purpose computational grammar called PEG. The semantic decision that is necessary to make the right attachments is made (a) by parsing (also with PEG) the natural language definitions of an online standard dictionary, in this case
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SENS: The System for Evaluating Noun Sequences, able to discover, for example, that there is a Locative relation in “vegetable market” but not in “lemon peel,” which contains, rather, a Part-of relation. A system is described here that will determine these relations automatically. First a classification of possible relations is presented, formul
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Disambiguating and Interpreting Verb Definitions,formation found in these resources. In this chapter we describe a Disambiguation Module which analyzes the content of dictionary definitions, in particular, definitions of the form “to VERB with NP.” We discuss the semantic relations holding between the head and the prepositional phrase in such stru
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