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[PDF] Top 20 Using Learning To Rank to Enhance NLM Medical Text Indexer Results

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Using Learning To Rank to Enhance NLM Medical Text Indexer Results

Using Learning To Rank to Enhance NLM Medical Text Indexer Results

... Overall, adding more features as well as using a larger number of PubMed Related Citations has a positive effect on the L2R performance. We trained L2R on the feature set from MTI with L2R extended with the MHType ... See full document

8

Learning to Rank using Query-Level Rules

Learning to Rank using Query-Level Rules

... In this paper we propose novel learning to rank methods using association rules for the sake of relevance estimation. The first method (RE-SR) is based on the concept of stable rules, which are rules ... See full document

15

Entity attribute ranking using learning to rank

Entity attribute ranking using learning to rank

... begun using entity cards to support their ranked results ...a learning to rank approach applied to entity ...documents using a generic search ...preliminary results demonstrate ... See full document

6

Extracting Text Features Using Learning-To-Rank-Methods From The Perspective Of Information Retrieval

Extracting Text Features Using Learning-To-Rank-Methods From The Perspective Of Information Retrieval

... on Text parsing in a multi-sourced document from an uncertain ...content, text pre-processing with respect to parsing the query topic is ...the text ranking task can be formulated with text ... See full document

7

Transfer Based Learning to Rank Assessment of Medical Term Technicality

Transfer Based Learning to Rank Assessment of Medical Term Technicality

... on learning-to-rank techniques where we combine statistical and linguistic features to determine how likely it is for a term to be used by lay or specialized speak- ...to rank terms according to ... See full document

5

Scaling Learning to Rank to Big Data: Using MapReduce to parallelise Learning to Rank

Scaling Learning to Rank to Big Data: Using MapReduce to parallelise Learning to Rank

... evaluation results on well-known benchmarks collections, insight has been gained with the cross- benchmark comparison on which methods tend to perform better than ...which learning to rank methods ... See full document

125

Learning to Rank Relevant Files for Bug Reports Using Domain knowledge, Replication and Extension of a Learning-to-Rank Approach

Learning to Rank Relevant Files for Bug Reports Using Domain knowledge, Replication and Extension of a Learning-to-Rank Approach

... before using them in a learning to rank ...the learning-to-rank ...the text preprocessing stage is that words in a corpus or a bag of word need to be reduced to their basic ... See full document

53

Learning to rank diversified results for biomedical information retrieval from multiple features

Learning to rank diversified results for biomedical information retrieval from multiple features

... IR using learning-to-rank ...model learning process of these methods, only general fea- tures are used while none diversity-related features are ...no learning-to-rank algorithm ... See full document

10

Answering questions by learning to rank   Learning to rank by answering questions

Answering questions by learning to rank Learning to rank by answering questions

... documents. Using a token-based retrieval (Lucene, ElasticSearch) and keeping the most relevant document as dictated by a lexical score ...better results and delivers more meaningful documents for answering ... See full document

10

Expert System for Healthseekers by Using Local Mining and Global Learning

Expert System for Healthseekers by Using Local Mining and Global Learning

... in medical terminology assignment. By using morphological, semantic and pragmatic aspects of natural ...for medical terminology assignment ...the medical digital library by proposed new ... See full document

9

Predicating Influential Microblog in Micro blogging Services

Predicating Influential Microblog in Micro blogging Services

... important text content created by the users with the assuming that text content is the cause of ...the text content has rich features such as word count of a single microblog, the sentiment of the ... See full document

10

12 years on – Is the NLM medical text indexer still useful and relevant?

12 years on – Is the NLM medical text indexer still useful and relevant?

... machine learning might be able to assist MTI and found it to be successful for a handful of MeSH ...the results for some of the most frequently used MeSH Terms were viable enough to incorporate into ... See full document

10

Matching medical student achievement to learning objectives and outcomes: a paradigm shift for an implemented teaching module

Matching medical student achievement to learning objectives and outcomes: a paradigm shift for an implemented teaching module

... problem-based learning (PBL) 8/117 (6.8%), self-directed learning (SDL) 3/117 ...These results should encourage and guide other medical schools to investigate the points of weakness in their ... See full document

7

Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

... active learning modalities have become an essential part of the genetics curriculum, with an emphasis placed on the mastery of practical skills in medical genetics and ...effective learning outcome ... See full document

13

Effectively using communication to enhance the provision of pediatric palliative care in an acute care setting

Effectively using communication to enhance the provision of pediatric palliative care in an acute care setting

... the medical facts that result in pal- liative care becoming an option. Using humanizing behavior, the social worker may make suggestions, point out the fact that going home may not be feasible, and allow ... See full document

6

Development of Interactive Teaching Material using Multisensory Learning Model on Multiplication Material to Improve Student Results Third Grade Prima

Development of Interactive Teaching Material using Multisensory Learning Model on Multiplication Material to Improve Student Results Third Grade Prima

... interactive learning material using Microsoft power point can also help students who have visual and audiovisual learning styles in math ...the results of research conducted by Mark ...student ... See full document

7

We lived and breathed medicine - then life catches up: Medical students’ reflections

We lived and breathed medicine - then life catches up: Medical students’ reflections

... infinite, leaving no room for mistakes since you are dealing with people’s lives. A capacity to synthesise theory and to combine practical knowledge with communicative and em- pathetic skill was believed to be even more ... See full document

7

To Enhance the Medical Images Using Aura Transformation

To Enhance the Medical Images Using Aura Transformation

... From the literature survey, it is concluded that limited work has been done using the concepts of aura based transformation. Our previous investigations have shown that aura transformation may be enhanced by ... See full document

7

Resolution Enhancement of Images using DTCWT and NLM

Resolution Enhancement of Images using DTCWT and NLM

... The NLM filter is an improved version of neighborhood filtering ...In NLM weighted sum of the surrounding pixels Y (p, q) (same frame and in the neighboring frames [16]) is taken which helps to compute ... See full document

5

The effect of learning strategy e-learning and student's independence  in learning to learning results of learning tafsir

The effect of learning strategy e-learning and student's independence in learning to learning results of learning tafsir

... of learning achievement of Tafsir in this group is quite good, it is indicated the achievement of learning objectives reaching ...analysis using ANOVA test from score of learning result of ... See full document

7

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