Dependency Classifier in Part-Whole Relationships
نویسندگان
چکیده
Many categories of Part-whole relationships have been analyzed earlier. Existing Part-Whole Taxonomies include some form of dependency classifier to account for dependency of whole on the parts. It is shown that the existing notions of dependency partially overlap and are also inadequate. The notion of logical dependency is introduced and it is unified with existing dependency classifier to obtain a broad notion of Dependency. Impact of the unified Dependency classifier on part-whole categories is studied and the resulting subcategorization of component-object relation is presented.
منابع مشابه
An OODB \Part" Relationship Model
The whole-part organizational method is one which pervades human thinking, and as such plays an important role in data modeling. This is especially true in manufacturing, design, graphics, multi-media, and document processing|areas targeted by object-oriented databases (OODBs). In this paper, we formally deene OODB relationships which provide constraints and functionalities that enforce real-wo...
متن کاملClassifying Relationships Between Nouns
In this paper we develop a system for classifying relationships between noun pairs. This is accomplished by finding the dependency paths between the nouns in the Reuters corpus and training a multiclass classifier based on the counts of the paths. We experiment with several classification algorithms (NB, kNN, SVM), feature selection techniques, and additional features. The resulting system achi...
متن کاملDependency Parsing and Projection Based on Word-Pair Classification
In this paper we describe an intuitionistic method for dependency parsing, where a classifier is used to determine whether a pair of words forms a dependency edge. And we also propose an effective strategy for dependency projection, where the dependency relationships of the word pairs in the source language are projected to the word pairs of the target language, leading to a set of classificati...
متن کاملABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms
ABC-Miner is a Bayesian classification algorithm based on the Ant Colony Optimization (ACO) meta-heuristic. The algorithm learns Bayesian network Augmented Näıve-Bayes (BAN) classifiers, where the class node is the parent of all the nodes representing the input variables. However, this assumes the existence of a dependency relationship between the class variable and all the input variables, and...
متن کاملGroup Positive Parenting Program (Triple-P) and the Relationships of Mother-Child with Intellectual Disability
Objective: The present study aimed to determine the effectiveness of group Triple-P on the relationships of mother-child with ID (Intellectual Disability). Methods: In this semi-experimental study with pretest and posttest design by control group, Parent-Child Relationship Scale (PCRS) was determined in 40 random clustering selected mothers of children with ID before and after the intervent...
متن کامل