[PDF] Top 20 Context Based Semantic Similarity and Document Retrieval
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Context Based Semantic Similarity and Document Retrieval
... Text based methods are extensively used in information retrieval on ...which context. Hence, it is an important task to find out the context of the words so as to effectively understand what ... See full document
5
A Study of Similarity Functions Used in Textual Information Retrieval in Wide Area Networks
... each document in the collection, and for the user query. The retrieval is based on the similarity between the query vector and document ...vectors. Based upon the ... See full document
5
A Survey of Text Similarity Approaches
... explicit semantic analysis (CL- ESA) [18] is a multilingual generalization of ...a document-aligned multilingual reference collection such as Wikipedia to represent a document as a language- ... See full document
6
Learning Text Pair Similarity with Context sensitive Autoencoders
... pairwise context-sensitive Autoencoder for computing text pair sim- ...into context-sensitive representations and uses them to compute similarity between text ...two semantic re- trieval tasks ... See full document
11
REVIEW ON ONTOLOGY BASED TECHNIQUES IN INFORMATION RETRIEVAL SYSTEMS
... information retrieval (IR) is presented in [18]. The system based on a domain knowledge presentation schema in form of ...retrieved based on the associations and not only based on limited or ... See full document
6
Selecting Sentences for Answering Complex Questions
... lexical semantic, cosine similarity, ba- sic element, tree kernel based syntactic and shallow-semantic) for each of the document sentences in order to measure its importance and ... See full document
10
Modeling Interestingness with Deep Neural Networks
... deep semantic simi- larity model (DSSM), a special type of deep neural networks designed for text analysis, for recommending target docu- ments to be of interest to a user based on a source document ... See full document
12
A Survey on Semantic Retrieval by Data Similarity of Trademark
... and semantic data to count the semantic similarity of two ...phrases. Semantic data is given fromlexical ...the semantic similarity between phrases or short ...is based on ... See full document
5
Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity
... The amount of information available online is growing at an exponential rate. It is becoming in- creasingly difficult to navigate the vast amounts of data and isolate relevant pieces of informa- tion. Thus, providing ... See full document
10
Information Retrieval and Context Based Document Summarization Using Vector Space Model
... single document summarization where systems produced a summary of one document, whether a news story, scientific article, broadcast show, or ...original document where a given piece of information ... See full document
8
Shared neural processes support semantic control and action understanding
... executively-demanding semantic tasks may share some cognitive processes that are supported by the network revealed ...the context or task – for example, we can retrieve very different actions for the object ... See full document
13
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval
... model based on the Trans- former architecture that can dynamically pre- dict contextualized token ...infer document embeddings: we average-pool stacked token representations in each of BERT’s Trans- ... See full document
6
SEMANTIC CLUSTERING WITH CONTEXT ONTOLOGY FOR INFORMATION RETRIEVAL SYSTEM
... to context, it does not have a chance to know whether the term is a name of perfume or it is a name of footballer, T-shirt etc when the system meets with the term "David ...a context cluster, the system ... See full document
6
Combining Low-Level Features for Semantic Extraction in Image Retrieval
... their similarity measures are not designed to be com- bined naturally in a meaningful ...several similarity func- tions require careful ...are based on specific and different visual cues representing ... See full document
12
Language Resources for Semantic Document Annotation and Crosslingual Retrieval
... for semantic search over documents, we had to establish a connection between the ontology and the texts of the ...the context of their usage in the ... See full document
7
A semantic partition based text mining model for document classification.
... Researchers for decades have been concentrating on discovering knowledge from structured datasets, however, much of business and government data are stored in textual format and there is a growing need to understand this ... See full document
94
Patient report Retrieval Using Semantic LDA with Cosine Similarity
... the document dependent attributes are retrieved from the patient report database, and the words from the reports are extracted by reading the reports via ...the document dependent attributes and to ... See full document
7
Context Based Similarity Analysis for Document Summarization
... a context-sensitive document indexing model. The PageRank-based algorithm is applied for implementing the iteratively compute and how informative is each document ...Sentence similarity ... See full document
7
Discovering Semantic Similarity between Words Using Web Document and Context Aware Semantic Association Ranking
... keywords. Semantic Similarity Measure is widely used in Information Retrieval (IR) and also it is important component in various tasks on the web such as relation extraction, community mining, ... See full document
5
Text Document Clustering based on Semantics
... Latent Semantic Indexing (LSI) model uses singular value decomposition; a mathematical approach to construct a term document matrix represents documents and words ...A similarity measure is used ... See full document
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