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PURPOSE Vitreoretinal disorders are frequently characterized by increased vitreous levels of cellular mediators, including cytokines, chemokines, and growth factors. The study was conducted to investigate whether multiplex bead analysis could identify disease-specific profiles of these mediators in a variety of vitreoretinal diseases. METHODS Levels of 19(More)
The article presents the experiments carried out as part of the participation in the main task of QA4MRE@CLEF 2011. We have submitted total five unique runs in the main task: two runs from systems based on Answer Validation (AV) machine reading techniques, one run from systems based on Question Answering (QA) techniques while the last two runs are hybrid(More)
The article presents the experiments carried out as part of the participation in the pilot task of QA4MRE@CLEF 2013. In the developed system, we have first generated answer pattern by combining the question and each answer option to form the Hypothesis (H). Stop words and interrogative word are removed from each H and query words are identified to retrieve(More)
The rapid expansion of blog and electronic data in Web 2.0 is abounding and thus it is becoming important to identify the author " s profile also. The problems of automatic identification of author " s gender and age based on linguistic and stylistic pattern have been a subject of increasingly research interest in the recent years. The research(More)
The article presents the experiments carried out as part of the participation in the main task of QA4MRE@CLEF 2012. In the developed system, we first combine the question and each answer option to form the Hypothesis (H). Stop words are removed from each H and query words are identified to retrieve the most relevant sentences from the associated document(More)
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical quantities are an important class of entities, especially in queries about prices and features related to products, services and travel. We introduce Quantity Consensus Queries(More)
Inductive transfer is applying knowledge learned on one set of tasks to improve the performance of learning a new task. Inductive transfer is being applied in improving the generalization performance on a classification task using the models learned on some related tasks. In this paper, we show a method of making inductive transfer for text classification(More)
Learning to score—and thereby order—items represented as feature vectors xi ∈ R d , with the goal of minimizing various ranking loss functions, is now a major topic in Information Retrieval. Training data consists of relevant and irrelevant documents identified for a number of queries. Many systems train a model w ∈ R d , such that the score of an item xi(More)