Semantic Similarity
On metric embedding for boosting semantic similarity computations
... Among semantic relatedness measures, seman- tic similarity encodes the conceptual distance be- tween two units of language – this goes beyond lexical ...units, semantic similarity is at the ...
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Reconstructing Big Semantic Similarity Networks
... Distance metric learning from high (thou- sands or more) dimensional data with hun- dreds or thousands of classes is intractable but in NLP and IR, high dimensionality is usu- ally required to represent data points, such ...
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Czech Dataset for Semantic Similarity and Relatedness
... for semantic similarity and semantic related- ...the semantic similarity and semantic re- latedness of the ...mantic similarity and ...
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A Personalized Recommendation Algorithm on Integration of Item Semantic Similarity and Item Rating Similarity
... item semantic similarity and item rating ...item semantic similarity is calculated combining Earth Mover's Distance and Proportional Transportation Distance, which can utilize the ...
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Investigating text power in predicting semantic similarity
... prescribe semantic indexing using a combination of the two methods (Peters and Kurth 1991; Hersh, Buckley, Leone & Hickam 1994; Shaw 1994; Muddamalle, 1998; Savoy 2005; Zhu, Zeng, & Mamitsuka ...the ...
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Semantic Similarity of Arabic Sentences with Word Embeddings
... measure semantic re- lations between Arabic ...the semantic properties of words in- cluded in the word-embedding ...sentence similarity, this article showed how the IDF weighting and Part-of-Speech ...
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Semantic Similarity Calculation of Chinese Word
... two semantic similarity computing methods of ...word semantic similarity, is based on aggregation phenomenon of the ...reflect similarity and difference of word in syntactic, ...
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Identifying Cognates by Phonetic and Semantic Similarity
... the semantic score is computed by a faster method that employs QueryData, a Perl Word- Net 5 module (Rennie, ...of semantic similarity, which is shown in Ta- ble ...of similarity are ...
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Context Based Semantic Similarity and Document Retrieval
... when semantic similarity is computed using them, but these are derived from distributional models which are symbolic and give us an idea about perception rather than ...
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A Method for Measuring Semantic Similarity of Documents
... the semantic similarity, and the work of Thiagarajan et al [19] that presents a set of semantic similarity metrics, based on ontologies and takes into account, in the calculations, the ...
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An Improved Semantic Similarity Algorithm on Hownet
... The semantic similarity calculation on HowNet has been widely used. This paper introduces the membership concept of fuzzy mathematics based on the Liu Qun’s study. And this paper proposed the variable ...
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SSAS: Semantic Similarity for Abstractive Summarization
... estimating semantic similarity between SCUs, Autopyramid cannot explicitly quantify the quality of a summary based on its agreement or contradiction with a reference ...
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Semantic Similarity Measure Using Information Content Approach With Depth For Similarity Calculation
... to similarity. In our similarity measure, we introduce relevance of distinct feature, specific to the concept, on the basis of its depth in the ...proposed semantic similarity measure shows ...
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Methods for Measuring Semantic Similarity of Texts
... of semantic similarity. For example, semantic similarity serves as a criterion within Text Summarisation to select a sentence that summarises an entire paragraph (Das and Martins, ...
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Using Semantic Perimeters with Ontologies to Evaluate the Semantic Similarity of Scientific Papers
... The similarity of two documents is determined by the similarity of the concepts they ...measuring semantic similarity between linguistic items at multiple levels: senses, words, and ...WordNet ...
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Semantic Similarity Applied to Spoken Dialogue Summarization
... of semantic similar- ity metrics which utilize WordNet as a knowledge ...that semantic similarity between a given utterance and the dialogue as a whole is an appropriate criterion for the selection ...
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Word Semantic Similarity for Morphologically Rich Languages
... of semantic similarity for morphologically rich languages, such as German and ...the semantic distortion introduced by a stemmer or a ...a semantic distortion ...of similarity ...
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Semantic Similarity Between Sentences
... art semantic similarity measures in WordNet based on is-a ...the similarity we follow feature based approach which generates the similarity score in depth of word meaning level and definition ...
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SEMILAR: The Semantic Similarity Toolkit
... of semantic similarity in Nat- ural Language Processing (NLP) is highlighted by the diversity of datasets and shared task eval- uation campaigns (STECs) that have been pro- posed over the last decade ...
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Design and Development of a Bangla Semantic Lexicon and Semantic Similarity Measure
... connections among different levels of the graph and developed a mechanism for predicting semantic similarity measures between words in the proposed lexicon. The details of the organizational methodology are ...
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