vector-based semantic space model
A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness
... GVSM model, there are at least two basic directions for em- bedding term to term relatedness, other than ex- act keyword matching, into a retrieval model: (a) compute semantic correlations between ...
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Towards a Vector Space Model for FrameNet-like Resources
... the semantic modelling: it seems that the pseudo concepts implicit in the dimensionality re- duction of LSA better promote paradigmatic ...LSA- based method for word sense disambiguation (Basili et ...
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Vector space calculation of semantic surprisal for predicting word pronunciation duration
... language model. Our first experiment tests whether semantic surprisal based on a model trained using in-domain data is predictive of word pronunciation duration, considering the UID ...
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Multiple Document Summarization Using Principal Component Analysis Incorporating Semantic Vector Space Model
... existing vector space model is statistical in nature. This vector space is input to a number of tools and processes like a summarizer and information retrieval ...Summarization ...
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Post hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling
... explicitly model also ad- ditional information besides the semantic similar- ity between the predicate and the ...English vector space model was induced on a nearly four times larger ...
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The Lifted Matrix Space Model for Semantic Composition
... to semantic composition gener- ally seen in formal linguistics, and have shown empirical improvements over comparable se- quence models by doing ...as model dimension or vocabulary size ...
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Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
... We have performed a systematic study of comple- mentarity of topical (Document) and type (Depen- dency) features in Vector Space Model (VSM) for semantic composition of adjective-noun phrases. ...
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Unsupervised Metaphor Paraphrasing using a Vector Space Model
... usually based on WordNet), and often have difficulties getting significant improvements over a baseline of a simple dependency-based vector space model of semantic similarity ...
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Chinese Personal Name Disambiguation Based on Vector Space Model
... use Vector Space Model to resolve ambiguities between people having the same personal ...structural semantic knowledge in multiple knowledge sources to disambiguate personal ...Entity-Mention ...
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A Comparison of Vector based Representations for Semantic Composition
... distributional semantic space (Mitchell and Lapata, 2010), word embeddings computed with a neural language model (Collobert and We- ston, 2008) and a representation based on weighted ...
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Update Summary Generation based on Semantically Adapted Vector Space Model
... through semantic analysis. Initially documents are mapped into vector space model and similarity matrix is constructed by tsf-isf which utilizes ...into semantic similarity matrix by ...
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Vector based Models of Semantic Composition
... are based on a semantic space for representing the meanings of individual ...The semantic space we used in our experiments was built on a lemmatised version of the ...word-based ...
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Dependency Based Construction of Semantic Space Models
... between model classes. Syntax-based vector space models have been used in NLP for a variety of lexicon acquisition tasks ranging from thesaurus extraction (Grefen- stette 1994; Lin 1998a) to ...
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Query Expansion based on Associated Semantic Space
... expansion based on semantic weights, but they did not use the weights in calculating similarities between queries and documents, which weakened the description of user’s query ...Concept Vector ...
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CONTEXT BASED INTER STRUCTURAL MINING ON SEMI STRUCTURED DATA USING VECTOR SPACE MODEL
... documents based on their content on static and dynamic XML ...matching semantic tags , an ontology is created in ...Retrieval based methods treat each document as a bag of ...
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Detecting Compositionality Using Semantic Vector Space Models Based on Syntactic Context Shared Task System Description
... We model the syntactic contexts of any ha, ni pair as a set of vectors in a set of vector spaces defined as ...a vector space model, and we repre- sented as a vector in it each ...
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Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
... present vector space semantic parsing (VSSP), a general framework for building compositional models of vector space ...is based on Combinatory Categorial Gram- mar (CCG), which ...
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Information Retrieval and Context Based Document Summarization Using Vector Space Model
... orthographic, semantic, and statistical ...white space to identify word boundaries, followed by stemming to conflate words with similar surface forms into a common ...In vector space text ...
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A Systematic Study of Semantic Vector Space Model Parameters
... window- based methods, even though smaller vectors were used for the Google models (10,000 ...the model built from the syn- tactic N-grams is the overall winner, but when ...
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Improving Web Page Classification by Vector Space Model
... ABSTRACT: Data mining is a process of collecting and analyzing the data for different purpose. Now a days Data mining is not only used in industries but it is also required for educational institutes. Data mining is an ...
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