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key concept identification and weighting scheme for identifying and analysing the latent semantic structure of queries and their corresponding documents on the web. Unlike conventional approaches that treat query terms independently, in our proposed method, we first identify key concepts in user queries using the normalised similarity

The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for ... Download Free PDF. Download Free PDF. Key Concept Identification: A Sentence Parse Tree ...

3.2.3 Learning-Based Key Concept Identication We also developed learning-based key concept identication to build queries from EHR notes. We employed Conditional Random Fields (CRF) model (Lafferty et al., 2001) to identify key con-cepts, which are most in need of explanation by external education materials. These key con-

the concepts and choose the highest scoring fifty. Then the optimal coverage algorithm is applied to choose the most diverse ten concepts that maximize the coverage of the set. Identifying Key Concepts Biological concepts are frequently expressed in terms of phrases. Thus, to identify key concepts in a set of

Bridging the semantic gap on the web remains one of the crucial challenges for current horizontal and domain-specific information retrieval systems. This challenge becomes even more pronounced when users express their information needs using short queries that are formulated using a few number of keywords, therefore relying on keywords for indexing web documents results in degrading the ...

Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF. Title Adjust the title. Retain tags such as <fixed-case>. ... %0 Conference Proceedings %T Key Concept Identification for Medical Information Retrieval %A Zheng, Jiaping %A Yu, Hong %Y Màrquez, Lluís %Y ...

PDF | Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries,... | Find, read and cite all the research you ...

Description: Key Concept Synthesis is an effective strategy for allowing students to identify the central concepts of a text, and to put those concepts into their own language while making connections to other concepts. How It Works: Key Concept Synthesis helps students to determine the key concepts in

The first and most important step in the research process is to identify the key concepts of your topic. From these key concepts you will generate the keywords needed to search the library's catalog and article databases. The box to the right explains how to identify key concepts. NOTE: This is not necessarily a thesis, but an exploration of ...

The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from ...

Identifying key concepts. The structure of the search strategy should be based on the main concepts being examined in a review (Cochrane handbook, Ch. 4.4.2). The best approach to form the strategy is to employ a framework suitable to the research question. The framework is commonly used to logically structure the question and ensure that the ...

Identify Key Concepts Topic: How does the construction of new baseball and football stadiums affect city budgets and city services? Main subject area or areas: sports, urban studies, business Concept 1 Concept 2 Concept 3 Concept 4 construction OR building OR development A N D A N D stadium* OR football stadium* OR baseball stadium* OR arena* A N

Download Free PDF. Download Free PDF. D3.1 Key concept identification and clustering of similar content. Niraj Aswani. 2007. See full PDF download Download PDF. Related papers. Ontology-enablement of a system for semantic annotation of digital documents. Kalliopi Zervanou ...

Key Concepts in Research Ethics It is now generally agreed that research on human subjects must meet basic ethical standards and that all new research proposals involving human subjects should be submitted to an ethical review process. The need for such review, and its rigour, is primarily determined by the potential risks to participants.

Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. ... Download Free PDF. Download Free PDF. Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches. Muhammad Aman.

Key concepts should be identified for the search. Concepts should be considered as separate topics or groups of concepts. Your research question will determine how many concept groups you need. Sometimes you can get good results with just one concept (a rare term), typically a search includes two or three concepts. ...

PDF | On Sep 20, 2017, Roger Willoughby published Key Concept: Identity: The Key Concepts | Find, read and cite all the research you need on ResearchGate

Identify the major concepts of your topic. Then develop keywords related to the . major concepts of your topic. Databases can be picky about search terms. Identify synonyms for your concept, and consider the words most likely to be used in the database. Example: the . environmental consequences . of. fracking. Use Subjects to Identify Keyword ...

Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the two kinds of potentially powerful and leading unsupervised approaches in this area, devised to address the problem. To utilize the potential of ...