نتایج جستجو برای: syntactic interpretation
تعداد نتایج: 173760 فیلتر نتایج به سال:
Automatic Acquisition of Lexical Knowledge about Multiword Predicates Afsaneh Fazly Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2007 A multiword predicate is the combination of a predicate (often a verb) with one or more of its arguments, that together form a single unit of predicative meaning. We focus on a broad class of multiword predicates, in which a ...
Set-valued information systems are generalized models of single-valued information systems. Its semantic interpretation can be classified into two categories: disjunctive and conjunctive. We focus on the former in this paper. By introducing four types of dominance relations to the disjunctive set-valued information systems, we establish a dominance-based rough sets approach, which is mainly bas...
One of important issues in the field of implication and aggression is "منصوب به نزع خافض". It is an idiom related to مفعول به "”. By referring to its definition, a syntactic-semantic analysis will be done in this paper. It tries to indicate what is the relationship between word and meaning and to what extent Arabic syntax focu...
Introduction: According to some evidence, damage to the right hemisphere leads to impaired linguistic and cognitive functions. Patients with right hemisphere damage (RHD) experience difficulties at different levels of language. Assessing and diagnosing language disorders in RHD patients help to plan treatment programs. Therefore, the present study investigated some of the language functions in ...
Abstract In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence , 2009] a correspondence was established between the set-theoretic structures of revealed-preference theory (developed in economics) syntactic revision functions philosophy computer science). this we extend re-interpretation those terms one-shot by relating them to trichotomous attitude towards inform...
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
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