Semantic Matching Similarity Algorithm Based on Dependency Trees
نویسندگان
چکیده
منابع مشابه
DLSITE-2: Semantic Similarity Based on Syntactic Dependency Trees Applied to Textual Entailment
In this paper we attempt to deduce textual entailment based on syntactic dependency trees of a given text-hypothesis pair. The goals of this project are to provide an accurate and fast system, which we have called DLSITE-2, that can be applied in software systems that require a near-realtime interaction with the user. To accomplish this we use MINIPAR to parse the phrases and construct their co...
متن کاملMatching Algorithm Based on Semantic Similarity of Service Requirement Ontology for CAE Simulation in Cloud Platform
When Cloud Platform for Computer Aided Engineering Simulation (CPCAES) are developed to use Service-Oriented Architecture (SOA), on the one hand, it’s necessary to accurately express the service requirements of users, on the other hand it’s need to semantic of the existing services in the platform, and then to match the ontologies. The existing Ontology Web Language for Services / Universal Des...
متن کاملAlgorithm for Semantic Based Similarity Measure
In a document representation model the Semanti based Similarity Measure (SBSM), is proposed. This model combines phrases analysis as well as words analysis with the use of propbank notation as background knowledge to explore better ways of documents representation for clustering. The SBSM assigns semantic weights to both document words and phrases. The new weights reflect the semantic relatedne...
متن کاملOntology-based Semantic Similarity Transfer Algorithm
Most current network resources recommendation systems are used in a decision-making environment with low user participation, which can not effectively meet user expectations. The main reason is that the collection of user preferences is extremely difficult, which leads to the lack of information acquisition, and the lack of effective semantic similarity metric. Accordingly, this paper uses onto...
متن کاملStructured Lexical Similarity via Convolution Kernels on Dependency Trees
A central topic in natural language processing is the design of lexical and syntactic features suitable for the target application. In this paper, we study convolution dependency tree kernels for automatic engineering of syntactic and semantic patterns exploiting lexical similarities. We define efficient and powerful kernels for measuring the similarity between dependency structures, whose surf...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Engineering and Technology Research
سال: 2018
ISSN: 2475-885X
DOI: 10.12783/dtetr/icmeit2018/23471