Tuning Local Context Analysis for Farsi Documents

2007 ◽  
Author(s):  
Parsia Hakimian ◽  
Fattaneh Taghiyareh
Keyword(s):  
Local Context ◽  
Context Analysis

scholarly journals Luppar: An Information Retrieval System for Closed Document Collections

2018 ◽  
Author(s):  
Fabiano Tavares Da Silva ◽  
José Everardo Bessa Maia
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Local Context ◽  
Semantic Model ◽  
Context Analysis ◽  
Document Collections

This article presents Luppar, an Information Retrieval tool for closed collections of documents which uses a local distributional semantic model associated to each corpus. The system performs automatic query expansion using a combination of distributional semantic model and local context analysis and supports relevancy feedback. The performance of the system was evaluated in databases of different domains and presented results equal to or higher than those published in the literature.

scholarly journals Query Expansion based on Local Distributional Thesauri

2018 ◽  
Author(s):  
Fabiano Tavares Da Silva ◽  
José Everardo Bessa Maia
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Semantic Representation ◽  
Local Context ◽  
Context Analysis

This work proposes and evaluates an approach to query expansion in Information Retrieval based on Local Context Analysis using a Distributional Semantic Representation. In general, the approach performed better compared to that of query expansion using non-distributional, local or global techniques, running over datasets of different application domains.

OP18 A Case Study Of Local Context-Dependent Decision-Making In Health Technology Assessment

2019 ◽  
Vol 35 (S1) ◽  
pp. 3-3
Author(s):  
Renée Drolet ◽  
Genevieve Asselin ◽  
Alice Nourissat ◽  
Martin Coulombe ◽  
Marc Rhainds
Keyword(s):  
Decision Making ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Data Extraction ◽  
Grey Literature ◽  
Health Technology ◽  
Local Context ◽  
Electronic Patient Records ◽  
Context Analysis ◽  
Medical Indications

IntroductionAntibiotics impregnated calcium sulfate (AI-CaSO4) is an innovative practice to ensure local diffusion of antibiotics especially in the treatment of prosthesis or medical implants infections. A recent introduction of AI-CaSO4 at CHU de Québec-Université Laval (CHU de Québec) was followed by a rapid increase in use and costs. A hospital-based health technology assessment (HTA) was then requested to assess the clinical relevance of AI-CaSO4 in surgical site infection (SSI) management.MethodsA systematic review of the effectiveness and adverse effects of AI-CaSO4 was performed in indexed databases and grey literature. The local context analysis included different methodologies: 1) interviews with pharmacists, surgeons and operating room managers, 2) data extraction from electronic patient records (EPR), 3) procurement database on CaSO4, and 4) interdisciplinary working group including orthopedic and vascular surgeons, pharmacists, infectiologists, and hospital managers.ResultsAvailable evidence suggest that AI-CaSO4 could contribute in the treatment of osteomyelitis whereas no conclusion can be drawn for other medical indications in both treatment and prevention of SSI. A review of 113 surgical procedures showed that AI-CaSO4 was rapidly adopted after only one year and used for various medical indications in neuromodulation, orthopedic and vascular surgery. Osteomyelitis treatment accounted for less than 3% of cases. AI-CaSO4 was mainly used in prevention of SSI (65%) and surgical revisions (74%). Furthermore, local safety issues were raised by a lack of standardization for the preparation and under recording of antibiotics use with AI-CaSO4.ConclusionsThe current state of knowledge does not support the widespread use AI-CaSO4 at CHU de Québec. This study highlights the importance of adapting HTA approach to the local context to influence decision-making especially in the context of innovating practice in order to insure the relevance, safety and sustainability of care.

Cortical Bone Classification by Local Context Analysis

2007 ◽  
pp. 567-578 ◽  
Author(s):  
Sebastiano Battiato ◽  
Giovanni M. Farinella ◽  
Gaetano Impoco ◽  
Orazio Garretto ◽  
Carmelo Privitera
Keyword(s):  
Cortical Bone ◽  
Local Context ◽  
Context Analysis

A corpus-based local context analysis for spoken dialogues

1994 ◽  
Vol 15 (3-4) ◽  
pp. 205-212 ◽  
Author(s):  
Yasuhiro Sobashima ◽  
Osamu Furuse ◽  
Hitoshi Iida
Keyword(s):  
Local Context ◽  
Context Analysis

Storia d'impresa: complessitŕ e comparazioni

2012 ◽  
pp. 117-127
Author(s):  
Amatori Franco
Keyword(s):  
United States ◽  
Economic History ◽  
The United States ◽  
Business History ◽  
Local Context ◽  
Context Analysis ◽  
China And India ◽  
The World

Business History: complexity and comparisons. An overview of the last two centuries of business history around the world focusing on three variables: technology, the firm, and the local context. Analysis shows the continuous competition between various countries, from the United States and Japan to China and India, with new waves of technology that make it impossible to forecast history. Business history naturally leads to the larger field of economic history.

Inverse local context analysis

2016 ◽  
Vol 34 (3) ◽  
pp. 405-418
Author(s):  
Wei Lu ◽  
Xinghu Yue ◽  
Qikai Cheng ◽  
Rui Meng
Keyword(s):  
Design Methodology ◽  
Experimental Results ◽  
Data Sources ◽  
Local Context ◽  
Context Analysis ◽  
Content Type ◽  
Practical Applications ◽  
Data Source

Purpose The purpose of this paper is to explore the use of inverse local context analysis (ILCA) to obtain data from limited accessible data sources. Design/methodology/approach The experimental results show that the method the authors proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Findings The experimental results show that the method we proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Originality/value To the best of the authors’ knowledge, this paper provides the first attempt to gather all the retrieved documents from limited accessible data source, and the efficiency and ease of implementation of the proposed solution make it feasible for practical applications. The method the authors proposed can also benefit the construction of web corpus.

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