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Article
Finding hidden relevant documents buried in scientific documents by terminological paraphrases
Technical terms play an important role of effective queries for many users to search scientific databases. However, authors of scientific literature often employ alternative expressions to represent the meanin...
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Article
Open AccessOverview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013
Since their introduction in 2009, the BioNLP Shared Task events have been instrumental in advancing the development of methods and resources for the automatic extraction of information from the biomedical lite...
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Article
Grid-based framework for high-performance processing of scientific knowledge
An essential matter in the knowledge-based information society is how to extract useful information quickly from a large volume of literature. Since most existing data mining frameworks deal with structured in...
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Article
An intensive case study on kernel-based relation extraction
Relation extraction refers to a method of efficiently detecting and identifying predefined semantic relationships within a set of entities in text documents. Numerous relation extractionfc techniques have been...
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Chapter and Conference Paper
K-Base: Platform to Build the Knowledge Base for an Intelligent Service
Recently, there is an increasing interest in effectively using big data. It is also thought that the machine learning methods are crucial to effectively extract knowledge from big text data when they are coupl...
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Chapter and Conference Paper
Author-Topic over Time (AToT): A Dynamic Users’ Interest Model
One of the key problems in upgrading information services towards knowledge services is to automatically mine latent topics, users’ interests and their evolution patterns from large-scale S&T literatures. Most...
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Chapter and Conference Paper
Fast Big Textual Data Parsing in Distributed and Parallel Computing Environment
Currently, tremendous numbers of scientific and technical articles are being published due to the rapid development of the scientific and technical fields. Also, systems are being proposed which can give usefu...
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Article
Development of a virtualized supercomputing environment for genomic analysis
Recently the importance of genomic data analysis has been growing; one realizes necessity of the personalized treatment of human cancers. Next generation sequencing (NGS) technique is a cost-effective way to o...
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Chapter and Conference Paper
Pathway Construction and Extension Using Natural Language Processing
Construction and maintenance of signaling pathway is a time-consuming and labor-intensive task. In addition, integration of various pathways is also ineffective since several markup languages are used to expre...
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Chapter and Conference Paper
Integration System for Linguistic Software and Data Set: uLAMP (Unified Linguistic Asset Management Platform)
Numerous linguistic resources are readily available in area of expertise due to the development of wireless devices such as smart-phones and the internet. To select useful information from the massive amount o...
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Chapter and Conference Paper
Analytics on Online Discussion and Commenting Services
From the view of design claims for online communities, it is very crucial to take interactions among members in a community into account when starting and maintaining it. This means managers of online communit...
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Chapter and Conference Paper
Corpus Construction for Extracting Disease-Gene Relations
Many corpus-based statistical methods have been used to tackle issues of extracting disease-gene relations (DGRs) from literature. There are two limitations in the corpus-based approach: One is that available ...
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Chapter and Conference Paper
Feasibility Study for Procedural Knowledge Extraction in Biomedical Documents
We propose how to extract procedural knowledge rather than declarative knowledge utilizing machine learning method with deep language processing features in scientific documents, as well as how to model it. We...
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Chapter and Conference Paper
Multi-words Terminology Recognition Using Web Search
Terminology recognition system which is a fundamental research for Technology Opportunity Discovery (TOD) has been intensively studied in limited range of domains, especially in bio-medical domain. We propose ...
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Chapter and Conference Paper
Relation Extraction Based on Composite Kernel Combining Pattern Similarity of Predicate-Argument Structure
Lots of valuable textual information is used to extract relations between named entities from literature. Composite kernel approach is proposed in this paper. The composite kernel approach calculates similarit...
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Chapter and Conference Paper
Smart Searching System for Virtual Science Brain
To decide research topics or analyze technical trends, researchers should collect and analyze information from hundreds of thousands of articles, patents, and technical reports. To facilitate the process, info...
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Chapter and Conference Paper
Procedural Knowledge Extraction on MEDLINE Abstracts
Text mining is a popular methodology for building Technology Intelligence which helps companies or organizations to make better decisions by providing knowledge about the state-of-the-art technologies obtained...
