Improving the effectiveness of information retrieval with local context analysis

2000 ◽  
Vol 18 (1) ◽  
pp. 79-112 ◽  
Author(s):  
Jinxi Xu ◽  
W. Bruce Croft
Keyword(s):  
Information Retrieval ◽  
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.

UTILIZING LOCAL CONTEXT FOR EFFECTIVE INFORMATION RETRIEVAL

2008 ◽  
Vol 07 (01) ◽  
pp. 5-21 ◽  
Author(s):  
TANVEER J. SIDDIQUI ◽  
UMA SHANKER TIWARY
Keyword(s):  
Information Retrieval ◽  
Similarity Measure ◽  
Question Answering ◽  
Graph Matching ◽  
Information Filtering ◽  
Similarity Measures ◽  
Local Context ◽  
Structural Variations ◽  
Retrieval Effectiveness ◽  
Relational Similarity

Our research focuses on the use of local context through relation matching to improve retrieval effectiveness. An information retrieval (IR) model that integrates relation and keyword matching has been used in this work. The model takes advantage of any existing relational similarity between documents and query to improve retrieval effectiveness. It gives high rank to a document in which the query concepts are involved in similar relationships as in the query, as compared to those in which they are related differently. A conceptual graph (CG) representation has been used to capture relationship between concepts. A simplified form of graph matching has been used to keep our model computationally tractable. Structural variations have been captured during matching through simple heuristics. Four different CG similarity measures have been proposed and used to evaluate performance of our model. We observed a maximum improvement of 7.37% in precision with the second CG similarity measure. The document collection used in this study is CACM-3204. CG similarity measure proposed by us is simple, flexible and scalable and can find application in many IR related tasks like information filtering, information extraction, question answering, document summarization, etc.

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

Speaker commitment: Back to the speaker. Evidence from Spanish alternations

2008 ◽  
Vol 22 ◽  
pp. 37-62 ◽  
Author(s):  
Bert Cornillie ◽  
Nicole Delbecque
Keyword(s):  
Information Retrieval ◽  
Case Studies ◽  
Relative Strength ◽  
Propositional Content ◽  
Context Analysis ◽  
Force Structure ◽  
Theoretical Claim ◽  
Selective Information ◽  
Highly Involved

This paper proposes an alternative cognitive account of the notion of speaker commitment in terms of speaker involvement and processing. The focus will be on the role of the speaker as conceptualizer. Invoking conceptualizer-related processing instead of speaker commitment has the advantage of avoiding reliance on non-speakerrelated dimensions to determine degrees of speaker commitment for introducing some propositional content. Our theoretical claim is based on two case studies from Spanish. First, canonical direct que ‘that’-clauses and oblique de que ‘of that’-clauses present an occasional switch to the alternate oblique and non-oblique construction, known as dequeísmo and queísmo, respectively. Dequeísmo has hitherto been related to notions such as doubt, hearsay, or distancing, i.e., to weak speaker commitment. Context analysis, however, shows that this approach is descriptively inadequate and that the phenomenon can best be accounted for in terms of speaker involvement: the speaker-conceptualizer is highly involved in selective information retrieval. Queísmo, by contrast, minimizes stage-managing, thus yielding low speaker involvement. In both cases, the relative strength of the speaker’s commitment is to be inferred on other grounds. Second, the Spanish modals poder, deber and tener que have been described in terms of weak, intermediate and strong speaker commitment. Yet, it will be shown that speaker involvement in downplaying the force structure decreases from poder to tener que. The more the deontic background can be subjectified the more the speaker is involved in the subjective construal. Here, weak commitment thus correlates with strong speaker involvement, and vice versa.

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