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Assessing sentence scoring techniques for extractive text summarization
TLDR
This paper describes 15 sentence scoring methods, and some variation of them, widely used and referenced in the literature applied to single document summarization in the last decade. Expand
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A multi-document summarization system based on statistics and linguistic treatment
TLDR
This paper presents a multi-document summarization system that concisely extracts the main aspects of a set of documents, trying to avoid the typical problems of this type of summarization: information redundancy and diversity. Expand
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A Context Based Text Summarization System
TLDR
Text summarization is the process of creating a shorter version of one or more text documents. Expand
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Assessing sentence similarity through lexical, syntactic and semantic analysis
TLDR
We propose a new sentence similarity assessment measure that takes into account the lexical, syntactic and semantic components of sentences. Expand
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A Four Dimension Graph Model for Automatic Text Summarization
TLDR
Graph based methods for automatic text summarization based on the relationships between sentences. Expand
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Assessing shallow sentence scoring techniques and combinations for single and multi-document summarization
TLDR
We investigate eighteen shallow sentence scoring techniques and ensemble strategies to compute the importance of a sentence in the context of extractive single- and multi-document summarization. Expand
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A new sentence similarity assessment measure based on a three-layer sentence representation
TLDR
We propose a new sentence similarity assessment measure that largely improves and refines a recently published method that takes into account the lexical, syntactic and semantic components of sentences. Expand
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A framework for building web mining applications in the world of blogs: A case study in product sentiment analysis
TLDR
We propose a software framework for building Web mining applications in the blog world that combines the use of blog crawling and data mining algorithms. Expand
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Combining sentence similarities measures to identify paraphrases
TLDR
It proposes a new paraphrase identification system based on lexical, syntactic, semantic analysis.The measure was evaluated using state-of-art dataset: Microsoft Paraphrase Corpus. Expand
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A New Sentence Similarity Method Based on a Three-Layer Sentence Representation
TLDR
This paper proposes a new sentence similarity measure that attempts to address such problems by taking into account the lexical, syntactic, and semantic analysis of sentences. Expand
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