WordNet-Based Similarity Measures
Learning Graph Embeddings from WordNet based Similarity Measures
... distance measures that take information beyond the graph struc- ture into ...semantic similarity and word sense disambiguation tasks, using various WordNet- based similarity ...
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Refining the Notions of Depth and Density in WordNet based Semantic Similarity Measures
... in WordNet-based semantic sim- ilarity ...in WordNet-based similarity measures does not always stand up to empirical ...of WordNet does not always corre- late with human ...
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A Study on Similarity and Relatedness Using Distributional and WordNet based Approaches
... and WordNet-based similarity measures, with a study of several parameters, including per- formance on similarity and relatedness ...for WordNet-based systems on the ...
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Identification of New Parameters for Ontology Based Semantic Similarity Measures
... “Word- Similarity Concept”, “Semantic Similarity Meaning”, “Corpus-based Similarity”, “Text-based Similarity”, “Knowledge based similarity”, “Ontology based ...
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Evaluating WordNet based Measures of Lexical Semantic Relatedness
... resource-based measures of lexical semantic distance, or, equivalently, semantic relatedness, for use in natural language processing ...of similarity and how well they fill the broader role, because ...
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Sinhala Short Sentence Similarity Calculation using Corpus Based and Knowledge Based Similarity Measures
... 6 Limitations & Future work Our lexical database is limited to one to one mappings of similar words, and it does not contain partial similarity values as we have in WordNet. Therefore, our lexical resource ...
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Automatic Interpretation of Noun Compounds Using WordNet Similarity
... of similarity, LCH has nearly the same performance as ...four measures of similarity used in this first experiment, the path-based similarity measures have higher performance ...
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Learning Graph Walk Based Similarity Measures for Parsed Text
... Graph-based similarity measures have been used for a variety of language processing ...of similarity between the graph ...semantic similarity over such graphs that were carefully ...
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A Study on Linking Wikipedia Categories to Wordnet Synsets using Text Similarity
... (e.g. WordNet Similarity measures of the TE system vs. WordNet- based system), we plan to explore further combina- tions in which such inferences of the TE will be dis- ...
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A Comparative Study of Conversion Aided Methods for WordNet Sentence Textual Similarity
... textual similarity is a crucial and a prerequisite subtask for many text processing and NLP tasks including text summarization, document classification, text clustering, topic detection, automatic question ...
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Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
... time, WordNet should only ever be loaded ...of WordNet loaded into memory, therefore the system checks to see if WordNet has already been loaded and if so it moves straight onto the Knowledge ...
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Ontology-based similarity measures and their application in bioinformatics
... functional similarity of entities that are annotated with GO ...functional similarity measures have been published, but available tools have limitations and a comprehensive web service was ...
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An empirical study of semantic similarity in WordNet and Word2Vec
... Some relations in WordNet have more associated synsets than others. Thus our experiment might be said to measure differences in associated synsets in WordNet instead of output from Word2Vec. We address this ...
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Phrase Similarity Measures Based on Word Mover's Distance
... Table 8. AUC by word pair Omitting stop words clearly solved both problems mentioned above but the problem of having clusters that are constructed from phrases that contain a mutual word stayed. Although this time the ...
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New similarity measures for ligand-based virtual screening
... Zoete et al., 2009) , and many types of research are focused on it. The molecules databases (fingerprint) contain a large number of bit-strings that represent the molecules features (Bajorath, 2017; from Structure, 1997; ...
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A relevance-based learning model of fuzzy similarity measures
... fuzzy similarity measure is compared to standard fuzzy similarity measures issued from the ...usual similarity measures. In all experiments, and for all similarity ...
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Measures of Distributional Similarity
... Our contributions are thus three-fold: an em- pirical comparison of a broad range of similarity metrics using an evaluation methodology that factors out inessential degrees [r] ...
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A Comparison of WordNet and Roget’s Taxonomy for Measuring Semantic Similarity
... 2 Resnik used the semantic concordance (semcor) that comes with WordNet. Semcor is derived from a hand-tagged subset of the Brown Corpus. His calculations were done using W[r] ...
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Measuring Semantic Similarity for Bengali Tweets Using WordNet
... topic based tweets collection is to capture people‘s natural way of explaining an event us- ing different synonymous words and varied syn- tactic formations while expressing the same ...
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An empirical study of semantic similarity in WordNet and Word2Vec. A Thesis
... Some relations in WordNet have more associated synsets than others. Thus our experiment might be said to measure differences in associated synsets in WordNet instead of output from Word2Vec. We address this ...
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