Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced ...

This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective characteristics of Wikipedia articles and Web corpus, we develop a clustering approach based on combinations of patterns: dependency patterns from dependency analysis of texts in Wikipedia, and surface patterns generated ...

We present MPL (Metapattern Language), a new formalism for defining patterns over dependency-parsed text, and GraphSpider, a matching engine for extracting dependency subgraphs which match against MPL patterns. Using a regexp-like syntax, MPL allows the definition of subgraphs matching user-specified patterns which can be constrained by word or word class, part-ofspeech tag, dependency type and...

One of the most pervasive properties of human language is the existence of dependencies: necessary relationships that hold between two elements in a sentence. The primary objects of study in this volume are long-distance “fillergap” dependencies – a special subset of dependencies that are not constrained by standard measures of length such as number of words or number of clauses. For example, w...

objectives: the gals (gait, arms, legs and spine) examination is a compact version of standard procedures used by rheumatologists to determine musculoskeletal disorders in patients. computerization of such a clinical procedure is necessary to ensure an objective evaluation. this article presents the first steps in such an approach by outlining a procedure to use motion analysis techniques as a ...

We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifier is prepared for every point (or timing or frame) and then the whole pattern is recognized by majority voting of the recognition results of the lo...

We propose a new prototype Chinese-to-Korean machine translation system called TOTAL-CK, a prototype transfer based MT system designed for the large-scale practical domain. TOTAL-CK consists of the components of analysis, transfer, and generation. In this paper, we mainly discuss the transfer issues resulting from stylistic structural differences between Chinese and Korean. The dependency gramm...

Articulation errors will seriously reduce speech intelligibility and the ease of spoken communication. Typically, a speech-language pathologist uses his or her clinical experience to identify articulation error patterns, a time-consuming and expensive process. Moreover, the language training is very difficult to articulation disorders for personal training procedure. In this paper, a system wit...

Our participation at TREC thi integrating dependency and analysis of external resources int system. In TREC-13, we have p dependency relation matching t extraction for factoid and list que showed that the technique is ef extraction within the corpus. H also identified some problems an this technique. First, dependency does not perform well on short have only very few key terms. Th integrate que...