2 For each new occurrence of a whword retrieve thesections that follow COBWEB takes asclassification hierarchy that covers the instances Theclass membership While the details of COBWEB are ID: 255733
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clause that precedes it. Our automated approach 2. For each new occurrence of a wh-word, retrieve thesections that follow. COBWEB takes asclassification hierarchy that covers the instances. Theclass membership. While the details of COBWEB are notapproach the root of the tree. Given a new instance to We describe the attribute-value pairs, a attribute-value pair, attribute-value pair. The paragraphsbelow briefly describe each attribute type using the casesappears in the clause just preceding the relative pronoun, The attribute describes the syntactic classrelative pronoun. In S1, for example, of the 76th court because it is arespectively, because they are noun phrases one and twopositions to the left of who. The subject and verb modify. We expect that the resolution of other wh-words ratherloosely to refer to all noun phrases, prepositional phrases, [The police] [detained] [Juan Bautista] [and] constituents: ( s human ) ( v t ) ( np2 proper-name ) cd-form: ( cd-form proper-name ) part-of-speech: ( part-of-speech comma ) antecedent: ( antecedent ((np2 cd-form)) ) ( s human ) ( np1 proper-name ) ( v nil )cd-form: ( cd-form proper-name ) part-of-speech: ( part-of-speech comma ) antecedent: ( antecedent ((cd-form) (s cd-form) (s)) ) [Her DAS bodyguard] [,] [Dagoberto Rodriquez] [,] who... and labels, however nophrases head noun. We use a set of seven general The subject constituents in attribute-value pair. The Its value is the semantic featureassociated with that constituent. In S1, for example, theconstituent recognized just before who was of the 76thcourt. Therefore, this phrase becomes part of the case in addition to its participation as the constituent attribute-value pair specifies the part of speech or 7The name cd-form is an artifact of the CIRCUS parser. University of Delaware, Newark. Budapest. p. 139-172. University ofHindle, D., & Rooth, M. (1991). Structural ambiguity and (pp. 339-352). Los Altos, CA: Vancouver. Association for Computational University of Pittsburgh.Association forLehnert, W. (1990). Symbolic/Subsymbolic Sentence San Diego,Language Using Mutual Information Statistics. Message Understanding Conference (MUC-3)