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   Articles with "summarization" as a keyword



Data summarization: a survey

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recommendations! Published in 2018 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-018-1183-0

Abstract: Summarization has been proven to be a useful and effective technique supporting data analysis of large amounts of data. Knowledge discovery from data (KDD) is time consuming, and summarization is an important step to expedite… read more here.

Keywords: summarization survey; knowledge; survey; summarization ... See more keywords

Using frame semantics for classifying and summarizing application store reviews

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recommendations! Published in 2018 at "Empirical Software Engineering"

DOI: 10.1007/s10664-018-9605-x

Abstract: Text mining techniques have been recently employed to classify and summarize user reviews on mobile application stores. However, due to the inherently diverse and unstructured nature of user-generated online textual data, text-based review mining techniques… read more here.

Keywords: summarization; frame semantics; application; store reviews ... See more keywords
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Knowledge graph summarization impacts on movie recommendations

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recommendations! Published in 2021 at "Journal of Intelligent Information Systems"

DOI: 10.1007/s10844-021-00650-z

Abstract: A classical problem that frequently compromises Recommender System (RS) accuracy is the sparsity of the data about the interactions of the users with the items to be recommended. The use of side information (e.g. movie… read more here.

Keywords: information; summarization; knowledge graph; movie ... See more keywords
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Characterizing human summarization strategies for text reuse and transformation in literature review writing

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recommendations! Published in 2019 at "Scientometrics"

DOI: 10.1007/s11192-019-03250-5

Abstract: Citations are useful signals of information salience, but little research has identified the patterns of information selection, transformation, and organization that they espouse. This paper investigated the summarization strategies followed in the writing of literature… read more here.

Keywords: literature; summarization; transformation; summarization strategies ... See more keywords

Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies

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recommendations! Published in 2018 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2017.10.034

Abstract: OBJECTIVE It is crucial for clinicians to stay up to date on current literature in order to apply recent evidence to clinical decision making. Automatic summarization systems can help clinicians quickly view an aggregated summary… read more here.

Keywords: semantic maps; contextualized semantic; summarization; casama ... See more keywords

Extractive summarization of clinical trial descriptions

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recommendations! Published in 2019 at "International journal of medical informatics"

DOI: 10.1016/j.ijmedinf.2019.05.019

Abstract: PURPOSE Text summarization of clinical trial descriptions has the potential to reduce the time required to familiarize oneself with the subject of studies by condensing long-form detailed descriptions to concise, meaning-preserving synopses. This work describes… read more here.

Keywords: clinical trial; trial descriptions; summarization clinical; text summarization ... See more keywords

Deep reinforcement learning for extractive document summarization

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recommendations! Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.01.020

Abstract: Abstract We present a novel extractive document summarization approach based on a Deep Q-Network (DQN), which can model salience and redundancy of sentences in the Q-value approximation and learn a policy that maximize the Rouge… read more here.

Keywords: document summarization; extractive document; summarization; reinforcement learning ... See more keywords

A study of extractive summarization of long documents incorporating local topic and hierarchical information

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-60779-z

Abstract: In recent years, the transformer-based language models have achieved remarkable success in the field of extractive text summarization. However, there are still some limitations in this kind of research. First, the transformer language model usually… read more here.

Keywords: information; topic information; summarization; local topic ... See more keywords

Brain-model neural similarity reveals abstractive summarization performance

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84530-w

Abstract: Deep language models (DLMs) have exhibited remarkable language understanding and generation capabilities, prompting researchers to explore the similarities between their internal mechanisms and human language cognitive processing. This study investigated the representational similarity (RS) between… read more here.

Keywords: brain; summarization; human brain; performance ... See more keywords

Context aware hierarchical attention for abstractive dialogue summarization

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-05923-z

Abstract: Abstractive dialogue summarization has gained increasing attention due to its ability to generate concise and informative summaries from complex conversational data. In social dialogues, phenomena like ellipsis and topic shifts frequently occur, making it essential… read more here.

Keywords: summarization; abstractive dialogue; attention; dialogue summarization ... See more keywords

An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-95381-4

Abstract: The fast development of social media platforms has led to an unprecedented growth of daily short text content. Removing valued patterns and insights from this vast amount of textual data requires advanced methods to provide… read more here.

Keywords: search; summarization; text summarization; social media ... See more keywords