similarity metrics
Learning to combine multiple string similarity metrics for effective toponym matching
... individual similarity metrics, we also experimented with the usage of supervised machine learning as a way of combining the multiple similarity ...thirteen similarity metrics introduced ...
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English-Hindi Transliteration using Multiple Similarity Metrics
... there is no equivalent sound in English. There are certain sounds in English (for example s in pleasure), which are not present in Hindi. It is common to have consonants clus- ters at the beginning or end of words in ...
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Evaluation of Similarity Metrics Under the Context of an Autonomous Reactive System
... six similarity metrics, with the objective to determine which model offers the best alternative for the task of search and recovery ...the metrics into two ...Dice metrics, which produced the ...
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Evaluation of Similarity Metrics Supporting matching of patients with cardiovascular disease
... Various similarity metrics can be used to calculate the similarity among user ...the similarity metric is the function which uses the values of properties in the user profile to assign the ...
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A SURVEY OF BUSINESS PROCESS SIMILARITY: METRICS AND TECHNIQUES.
... and similarity metrics for the data of a business process input, in order to find the one most similar to a process repository; and (2) the development of similarity metrics that, given two ...
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Improving style similarity metrics of 3D shapes
... style similarity metrics of 3D shapes [13, 14] are most closely related to our ...style- similarity measure based on geometric elements of the 3D ...
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OBJECTIVE SIMILARITY METRICS FOR SCENIC BILEVEL IMAGES
... quality metrics. While there have been many proposed grayscale similarity metrics, the only bilevel metrics of which we are aware are the widely used percent- age error (PE), which is actually ...
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A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word to Word Similarity Metrics
... Our novel method to assess a student contribution against an expert-generated answer relies on the compositionality principle and the sailor assignment algorithm that was proposed to solve the assignment problem, a ...
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Using Similarity Metrics For Terminology Recognition
... computed similarity cut-off thresholds calculated on the basis of modeling a noise ...fixed similarity thresholds as fixed thresholds are inherently imprecise, that is, there is no similarity ...
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Gloss Based Semantic Similarity Metrics for Predominant Sense Acquisition
... of similarity. Firstly, distributional similarity is used to estimate the pre- dominance of a sense from the number of distribu- tionally similar words and the strength of their dis- tributional ...
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Detecting Transliterated Orthographic Variants via Two Similarity Metrics
... String similarity for romanized words There are recognizable patterns in Japanese transliterated orthographic variants, thus, so far several rule-based methods to detect such vari- ants have been ...
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Augmenting Noun Taxonomies by Combining Lexical Similarity Metrics
... non anonymous dvi ????????? ??? ? ????????? ????????? ????? ????! ?" # ???$ ? ? ? ? ??&%'?(?) ?*+? ,/ ? 0?? 0,1?324 5?6"?7 ?(??24 1*+? 8?9? <;!=?>A@CBD@FEHGJIKE LNMPORQSMPT0U?V(QSW XCY[Z?\ MPM]Q)^FQ T[.] ...
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Similarity Metrics for Aligning Children’s Articulation Data
... These are based on various similarity or distance measures for individual phonetic segments, considering perceptual and articulatory features, which may be weighted to reflect salience, [r] ...
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Hierarchical Discourse Parsing Based on Similarity Metrics
... the similarity between these two sentences, we use Dynamic Time Warping Algorithm (DTW) [11] on the filtered set of NNs and ...the similarity score between a word of one sentence and a word of another ...
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Article Locating Emergent Creativity with Similarity Metrics
... The space conforms to many of our intuitions of chronology and stylistic similarity. Note that, for instance, composers of the First Viennese School oc- cupy the same cluster, as do the colleagues Brahms and ...
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Cluster Tendency Methods for Visualizing the Data Partitions
... the similarity metrics of visual approaches, Section 3 presents the algorithms of visual approaches, Section 4 observation study and Section 5 presents the ...
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Contemporary Full Reference Image Quality Assessment Metrics
... popular metrics to assess image ...based Metrics, Information Theoretic Metrics and Structural Similarity ...structural similarity approach in ...structural similarity approach ...
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Similarity of Scenic Bilevel Images
... that metrics for grayscale images have sometimes focused on quality and sometimes on similarity, with the latter referring to quality judged relative to a reference, for example the original ...image ...
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Machine Learning Approach by Document Clustering using Probability of Word Occurrences
... of metrics in text mining relates to the frequency of word count (or any token) in a certain corpus of text ...of metrics in cases where each document has an associated numeric value describing a certain ...
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PJIIT’s systems for WMT 2017 Conference
... well-known metrics were used for scoring the results: Bilingual Evaluation Understudy (BLEU), the US National Institute of Standards and Technology (NIST) metric and Translation Error Rate ...
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