An XML-Based Bootstrapping Method for Pattern Acquisition
نویسندگان
چکیده
Extensible Markup Language (XML) has been widely used as a middleware because of its flexibility. Fixed domain is one of the bottlenecks of Information Extraction (IE) technologies. In this paper we present a XML-based domain-adaptable bootstrapping method of pattern acquisition, which focuses on minimizing the cost of domain migration. The approach starts from a seed corpus with some seed patterns; extends the corpus based on the seed corpus through the Internet and acquires the new patterns from extended corpus. Positive and negative examples classified from training corpus are used to evaluate the patterns acquired. The result shows our method is a practical way in pattern acquisitions.
منابع مشابه
The Development of Human 1
The Development of Human 2 2 Abstract This chapter discusses a uniquely human learning mechanism—bootstrapping-whereby external symbolic systems (especially language) enable the creation of new, internal representational resources. The process is described in general terms and is also illustrated with a specific case: The acquisition of concepts for positive integers (1, 2, 3, etc.). First, the...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملPrototyping a Vibrato-Aware Query-By-Humming (QBH) Music Information Retrieval System for Mobile Communication Devices: Case of Chromatic Harmonica
Background and Aim: The current research aims at prototyping query-by-humming music information retrieval systems for smart phones. Methods: This multi-method research follows simulation technique from mixed models of the operations research methodology, and the documentary research method, simultaneously. Two chromatic harmonica albums comprised the research population. To achieve the purpose ...
متن کاملAutomatically Augmenting Terminological Lexicons from Untagged Text
Lexical resources play a crucial role in language technology but lexical acquisition can often be a time-consuming, laborious and costly exercise. In this paper, we describe a method for the automatic acquisition of technical terminology from domain restricted texts without the need for sophisticated natural language processing tools, such as taggers or parsers, or text corpora annotated with l...
متن کامل