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In this paper, we present Mnogoznal, an unsupervised system for word sense disambiguation. Given a sentence, the system chooses the most relevant sense of each input word w.r.t. to the semantic similarity between the given sentence and the synset constituting the sense of the target word. Mnogoznal has two modes of operation. The sparse mode uses the traditional vector space model to estimate the...
Stemming is a technique that transforms morphologically similar terms into a unique term without doing a complete morphological analysis. Stemming is used as a preprocessing step in many Natural Language Processing (NLP) applications like Information retrieval (IR), Machine Translation, Parsing, Summarization, etc. The present work explores the application of stemming to the task of information retrieval...
The quantitative assessment of the postural stability is allowed by means of the use of pressure or force plates which are able to record a CoP subject's trajectory during a quite standing. However, the pressure or force plates are commonly used in a clinical environment, due to their very complexity and expensiveness. So their applicability outside laboratories is extremely limited. New e-textile...
Healthcare forums are popular platforms for patients to communicate with other patients who have similar conditions. Retrieving similar post to a user's question is valuable as the question might have been already answered in similar threads. ICHI 2015 organized a challenge with a corpus of ninety-five selected questions and a query set of ten questions from various diabetes related online forums...
Our unsupervised Search Results Clustering (SRC) system partitions into clusters the top-n results returned by a search engine. We present the results of experiments with our SRC system that performs incremental clustering on document titles and snippets only and does not use external resources, yet which outperforms the best performers to date on the SemEval-2013 Task 11 gold standard. We include...
Retinal blood vessels damaged from diabetic retinopathy can cause vision loss. Diabetic Retinopathy (DR) detection, poor quality retinal image makes more difficult the analysis for ophthalmologist. In this paper presents a new automatic method of blood vessels extraction with a real time process using optimized matched filter with minimum cross entropy threshold. Minimum cross entropy threshold is...
Development of ECG delineation algorithms has been an area of intense research in the field of computational cardiology for the past few decades. However, devising evaluation techniques for scoring and/or merging the results of such algorithms, both in the presence or absence of gold standards, still remains as a challenge. This is mainly due to existence of missed or erroneous determination of fiducial...
In entity name disambiguation, performance evaluation of any approach is difficult. This is due to the fact that correct or actual results are often not known. Generally for evaluation purpose, three measures namely precision, recall and f-measure are used. They all are external validity indices because they need golden standard data. But in Bibliographic databases like DBLP, Arnetminer, Scopus, Web...
In entity name disambiguation technique, records of same entity are clustered together. One of the major challenges in such technique is to validate the result as the actual or correct results are often not known or difficult to know. In this context, three commonly known evaluation measures are precision, recall and f-measure. All these indices are external validity indices as they all need gold...
The characteristics of the suppliers selection processes in the e-commerce environment are different from that in the traditional single sales enterprise. This paper uses the analysis method of grey cluster to analyze the selection of suppliers quantitatively, and builds the multi-supplier selection decision-making model of the ceramic e-commerce distribution platform based on the analysis and research...
The work paradigm of crowd sourcing holds huge potential for organizations by providing access to a large workforce. However, an increase of crowd work entails increasing effort to evaluate the quality of the submissions. As evaluations by experts are inefficient, time-consuming, expensive, and are not guaranteed to be effective, our paper presents a concept for an automated classification process...
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