similarity scores
Are Morpho Syntactic Features More Predictive for the Resolution of Noun Phrase Coordination Ambiguity than Lexico Semantic Similarity Scores?
... ET Similarity (WN) Baseline Our lexico-semantic baseline comes with W ORD N ET semantic similarity scores of puta- tively coordinated ...following similarity measures were considered: two ...
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SemAligner: A Method and Tool for Aligning Chunks with Semantic Relation Types and Semantic Similarity Scores
... Text Similarity shared task at SemEval 2015, where it was used with human annotated (gold) chunks, can now additionally process plain text-pairs using two powerful chunkers we developed, ...semantic ...
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Web graph similarity for anomaly detection
... ture Similarity, shown in Fig. 5(e), gives similarity scores above the threshold for all such ...Vertex Similarity and Signa- ture Similarity, as they consider explicitly weights for ...
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Towards Robust Context Sensitive Sentence Alignment for Monolingual Corpora
... Matching “1903” with “the beginning of the 20th century” goes beyond the scope of any method relying predominantly on word identity. The hope is, however, that such mappings could be learned by amassing a large corpus of ...
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Semantic Textual Similarity in Quality Estimation
... The similarity score is a score between 1 and 5, further described in Ta- ble ...these scores are obtained by averaging several separate annotations by distinct evaluators, they are continuous, rather than ...
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Analysis of Risk Factor Domains in Psychosis Patient Health Records
... cosine similarity scores to compute domain similarity directly from their TF-IDF vector space model, we extend this method by training a suite of three-layer multi- layer perceptron (MLP) and radial ...
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Recommender System for China Braille Library
... user-user similarity matrix and item-item similarity matrix are needed to be ...the similarity is calculated, the remaining main task is how to rank the items to get topk ...user-user ...
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Mutational profiles of breast cancer metastases from a rapid autopsy series reveal multiple evolutionary trajectories
... genetic similarity scores ...the scores varied across effect categories, and samples from patients MBC005, MBC006, and MBC007 displayed much less genetic similarity in the high-impact category ...
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Cross document Event Coreference Resolution based on Cross media Features
... visual similarity be- tween images, by directly computing the L2 dis- tance of such features or through further met- ric ...the similarity between videos associated with two candidate event men- tions, we ...
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Download Download PDF
... the similarity score of two class diagrams using the Structure Mapping Engine ...the similarity scores obtained, a subset of repository projects is ...
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Women and their Relationship to Leader, Follower Commitment, and Job Performance: Netherlands, Belgium, and North Carolina
... if similarity between leaders and their female followers could predict the female followers’ organizational commitment and job ...performance. Similarity scores, organizational commitment ...
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DEVELOPMENT OF SUSTAINABILITY SYSTEMS FOR OPEN GOVERNMENT DATA (OGD) MANAGEMENT BY COMBINING THE SHEL MODEL AND SOFT SYSTEMS METHODOLOGY ANALYSIS
... semantic similarity domain, it shows the degree of correlation between scores of dataset test-pairs, the human and the observed similarity ...of similarity scores values; therefore, the ...
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Augmenting bug localization with part of speech and invocation
... Many researchers have tried to use static information of bugs and source code for coarse-grained localization [18]. They proposed some IR-based approaches com- bining with some useful attributes of software artifacts and ...
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A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
... oriented similarity studies is that “stimuli can only be compared in so far as they have already been categorised as identical, alike, or equivalent at some higher level of abstraction” (Turner et ...the ...
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Measuring sexually explicit content
... Abstract: In this paper we describe an experiment to investigate methods of measuring sexually explicit content in text documents. As a starting point, sample data was collected from a variety of sources and manually ...
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Automatic Label Generation for News Comment Clusters
... average scores given by the four assessors for the evaluation questions, where Q1 identifies whether the label can be understood, Q2 represents the phrase completeness of the label, and Q3 represents the accuracy ...
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Last Words: That’s Nice What Can You Do With It?
... the similarity between system output representations and gold-standard reference representations, in tasks where the output is language ...and similarity measures they ...and similarity measures are ...
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Estimating One’s Own and Other’s Psychological Test Scores
... test-assessed scores vary from r = ...test scores of their friends which depends on how well they know them, understand the concept they are asked to consider and whether their friend sees the ...
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Using K Means to Determine Learner Typologies for Project based Learning: A Case Study of the University of Education, Winneba
... Cluster analysis divides data into groups that are useful and share common characteristics. With clustering, data groupings will have a high intra-cluster similarity and low inter-cluster similarity [17]. ...
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Crowd effects in unfamiliar face matching
... image similarity and rating similarity of identities, with identity ratings producing superior individual and group ...of similarity towards features of the face that are diagnostic of ...
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