[PDF] Top 20 Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
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Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
... loads semantic package and uses it to extract knowledge from the current web page as shown in ...time, WordNet should only ever be loaded ...of WordNet loaded into memory, therefore the system checks ... See full document
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A Predictive Model for Tweet Sentiment Analysis and Classification
... with semantic analyses to classify product reviews or ...(J48). Semantic user modeling has been done based on twitter posts in ...user’s similarity which is based on topic discussed by ... See full document
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Measuring Semantic Similarity for Bengali Tweets Using WordNet
... nature. Semantic similarity score plays important role in many Natural Language Applications (NLP) such as multi-document summarization (MDS), question answering(QA), information extraction(IE) (Bhagwani et ... See full document
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Wordnet Based Cross Language Identification of Semantic Relations
... of semantic relations based on word similarity measurement and mor- phosemantic relations in ...context based on the existing ones and the general semantic classes of collocated verb ... See full document
10
Exploring the effect of semantic similarity for Phrase based Machine Translation
... average similarity score on the test set in table 3 after trans- forming English words to Hindi word ...with semantic similarity score In the phrase based MT system we add two fea- tures ... See full document
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Fusion of Multiple Semantic Networks and Human Association
... of semantic networks. As semantic net- works to fuse, we use the Japanese Wordnet which is a thesaurus made manually based on linguistic intuition and the knowledge acquired automatically from ... See full document
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Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing
... annotations based on the Computational Paninian Framework (henceforth ...syntactico- semantic dependency annotation, incorporating karaka ...relations based on CPG can be found in (Bharati et ... See full document
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A Semantic Similarity Algorithm Based on the Nearest Common Ancestor Node
... word semantic similarity calculation in such as information retrieval, machine translation, personalized recommendation and data mining, and other fields has been more and more widely used, which put ... See full document
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Aligning FrameNet and WordNet based on Semantic Neighborhoods
... one WordNet neighborhood and one FrameNet neighbor- hood with the starting word sense at the ...and WordNet re- lation, we use a set of 100 manually-created LU-SSL align- ments as a seed for acquiring ... See full document
5
Using WordNet and Semantic Similarity for Bilingual Terminology Mining from Comparable Corpora
... Then, based on the constructed tree, we collect all Wikipedia pages belonging to one of these categories and use inter-language links to build the comparable ... See full document
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Evaluating WordNet based Measures of Lexical Semantic Relatedness
... lexical semantic distance, or, equivalently, semantic relatedness, for use in natural language processing ...of similarity and how well they fill the broader role, because those measures are what ... See full document
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Corpus-based Semantic Relatedness for the Construction of Polish WordNet
... measures based on lexico-syntactic ...LU similarity calculation during the second ...the similarity compu- tation is based in some way on Mutual Information weight- ing, which is also often ... See full document
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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 ... See full document
9
Evaluating Semantic Resemblance of Perception in Data Graphs
... ABSTRACT--This script presents a purpose for scaling the semantic similarity between concepts in Knowledge Graphs (KGs) corresponding to WordNet and DBpedia. Previous entice linguistic resemblance ... See full document
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An empirical study of semantic similarity in WordNet and Word2Vec
... build semantic tools from Word2Vec, they will inevitably turn to WordNet to evaluate their ...using WordNet to benchmark their Word2Vec-based hyponym ... See full document
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Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms
... of WordNet with biomedical terminology; however, they were unsuc- cessful in constructing the ...distributional similarity techniques (Snow et ...extend WordNet with new synsets. However, structure- ... See full document
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A NOVEL STUDY FOR SUMMARY/ATTRIBUTE BASED BUG TRACKING CLASSIFICATION USING LATENT SEMANTIC INDEXING AND SVD IN DATA MINING
... and semantic analysis at various ...is based on the observation that systems of equations involving triangular coefficient matrices are easier to deal ... See full document
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Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
... As BLEU is scored using matching n-grams be- tween the candidate and ground-truth sentences, it can be considered a better indicator of semantic similarity between sentences than cross-entropy loss. One ... See full document
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FINGER PHOTOPLETHYSMOGRAPH AS A MONITORING DEVICE FOR LIPID PROFILE IN MEN WITH CARDIOVASCULAR RISK
... The best performance of RS only setting on small size cluster and the overlap number remains unchanged despite the increasing of the cluster size shows that the RS information has strong effect on defining the ... See full document
12
An Empirically Based Approach Towards a System Of Semantic Features
... An Empirically Based Approach Towards a System Of Semantic Features An Empirically Based Approach Towards a System Of Semantic Features Cornelia Zelinsky Wibbelt IAI Eurotra D Martin~Luther StraBe 14[.] ... See full document
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