Text Similarity
DKPro Similarity: An Open Source Framework for Text Similarity
... Computing text similarity is key to several natu- ral language processing applications such as au- tomatic essay grading, paraphrase recognition, or plagiarism ...few text similarity measures ...
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Evaluation of Scientific Elements for Text Similarity in Biomedical Publications
... We surveyed schemes that model scientific ele- ments in publications and selected four schemes for which we could find an available tool. We uti- lized the predictions from these tools for assessing the text ...
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ABSTRACT : This paper presents a system which finds text similarity and text classification with two datasets
... Table 6.1 shows accuracy of various classifiers in analysis of text similarity. The results of question-pairsdataset implemented with K-Nearest Neighbours plus Bag of Words Vector Representation given ...
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Text Reuse Detection using a Composition of Text Similarity Measures
... to text reuse detection is to compute similarity between a source text and a possibly reused ...of text similarity measures have been proposed for computing similarity based on ...
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TextFlow: A Text Similarity Measure based on Continuous Sequences
... tional) text similarity measures rely on the inter- sections between token sets and/or text sizes and frequency, including measures such as the Co- sine similarity, Euclidean distance, ...
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Software Development for Identifying Persian Text Similarity
... The methods used in evaluating text similarity can be classified into two general groups. The first group is the statistical methods based on information retrieval (IR) which acts in lexical level and puts ...
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An Evaluation of Short Text Similarity Matching from Text Pairs
... these similarity metrics, we found that Jaro-Winkler performed better than CACT's, WordNet- based and ...linkage similarity metrics to determine which are suitable for predicting Short ...Terms—Short ...
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Bayesian Supervised Domain Adaptation for Short Text Similarity
... For a variety of short text similarity tasks, domain adaptation improves average performance across dif- ferent domains, tasks, and training set sizes. Our adaptive model is also by far the least affected ...
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Computing Semantic Text Similarity Using Rich Features
... Semantic text similarity (STS) is an essential problem in many Natural Language Pro- cessing tasks, which has drawn a considerable amount of attention by research community in recent ...semantic ...
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Learning Discriminative Projections for Text Similarity Measures
... Traditional text similarity measures consider each term similar only to itself and do not model semantic relatedness of terms. We pro- pose a novel discriminative training method that projects the raw term ...
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A Graph-based Text Similarity Measure That Employs Named Entity Information
... proposed text similarity measure in a text clustering task, we used a simple, centroid-based, clustering al- gorithm ...a text similarity matrix, which was computed using i) the ...
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A Survey of Text Similarity Approaches
... three text similarity approaches were discussed; String-based, Corpus-based and Knowledge-based ...Corpus-Based similarity is a semantic similarity measure that determines the ...
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Research and Implementation of Text Similarity System Based on Power Spectrum Analysis
... the text analysis is established on the quantitative ...a text modeling and construct pulse signal function by domain multi-characteristics to obtain power spectrum of the ...the text ...
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A Reflective View on Text Similarity
... art similarity measures obtained on this ...term similarity using the metric by Lin (1998) on WordNet (Fellbaum, ...than text similarity and the fact that the dataset is also very small (30 ...
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A Study on Linking Wikipedia Categories to Wordnet Synsets using Text Similarity
... Short Text Semantic Similarity Benchmark Data Set [10], which contains 30 sentence pairs from the Collins Cobuild ...minimum similarity to ...
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Unsupervised Sparse Vector Densification for Short Text Similarity
... of text such as bag-of- words models or extended explicit semantic analysis (ESA) representations are commonly used in many NLP ...the similarity between two such s- parse vectors is not accurate due to the ...
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Learning Text Similarity with Siamese Recurrent Networks
... The starting point for our data is a hand made pro- prietary job title taxonomy. This taxonomy parti- tions a set of 19,927 job titles into 4,431 groups. Table 1 gives some examples of the groups in the taxonomy. The job ...
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Measuring Short Text Semantic Similarity with Deep Learning Models
... short text similarity task, even if no manually tuned features are added that optimize for a specific test set or ...several text representations as a combination of word embeddings and contributed a ...
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Short Text Semantic Similarity using Glove Word Embedding
... digital text to accomplish an innumerable amount of tasks that are related to text processing, analysis, synthesis, and calculations of text characteristics that are involved in other problems, such ...
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Text-based user-kNN:measuring user similarity based on text reviews
... our text-based user-kNN uses a text similarity measure ( ) that can identify ‘similar reviews’: reviews that use semantically similar wordings to review an ...the similarity between two ...
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