Data summarization: a survey
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Knowledge graph summarization impacts on movie recommendations
Sign Up to like & getrecommendations! 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
Characterizing human summarization strategies for text reuse and transformation in literature review writing
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
VIQoR: a web service for visually supervised protein inference and protein quantification.
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac182
Abstract: MOTIVATION In quantitative bottom-up mass spectrometry (MS)-based proteomics, the reliable estimation of protein concentration changes from peptide quantifications between different biological samples is essential. This estimation is not a single task but comprises the two… read more here.
Keywords: viqor; summarization; inference protein; protein inference ... See more keywords
NetSHy: network summarization via a hybrid approach leveraging topological properties
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac818
Abstract: Biological networks can provide a system level understanding of underlying processes. In many contexts, networks have a high degree of modularity, i.e., they consist of subsets of nodes, often known as subnetworks or modules, which… read more here.
Keywords: network; hybrid approach; netshy network; summarization ... See more keywords
Learning-Free Unsupervised Extractive Summarization Model
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DOI: 10.1109/access.2021.3051237
Abstract: Text summarization is an information condensation technique that abbreviates a source document to a few representative sentences with the intention to create a coherent summary containing relevant information of source corpora. This promising subject has… read more here.
Keywords: learning free; unsupervised extractive; model; extractive summarization ... See more keywords
A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization
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DOI: 10.1109/access.2021.3052783
Abstract: Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue. Therefore, it becomes highly essential to work on the design of existing automatic… read more here.
Keywords: abstractive text; abstractive summarization; survey; text summarization ... See more keywords