A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Review On Abstractive Text Summarization Techniques For Biomedical Domain
2018
Zenodo
Preserved Fulltext
Automatic text summarization provides solution by generating summary automatically. Text summarization techniques classified into extractive and abstractive text summarization types. ...
Abstractive text summarization can solve this problem by representing the extracted sentences into another understandable semantic form. ...
Related Work This section gives a detailed description of various abstractive text summarization techniques. ...
doi:10.5281/zenodo.1252402
fatcat:6khvqb535jamdnk3abc4jra3ui
Automatic Persian Text Summarizer Using Simulated Annealing and Genetic Algorithm
2014
International Journal of Intelligent Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, the proposed Persian text summarizer system employs combination of graph-based and the TF-IDF methods after word stemming in order to weight the sentences. ...
Due to cumulative growth of information and data, automatic text summarization technique needs to be applied in various domains. ...
W i,j =tf i,j *isf i (3)
Related Works Research studies in non-Persian languages domain considers challenges of automatic text summarization and related works to 2009 [3] . ...
doi:10.11648/j.ijiis.s.2014030601.26
fatcat:qo7bgzwszrcbhn6x4mr4cr3tky
Automatic Summarization of Scientific Articles: A Survey
2020
Journal of King Saud University: Computer and Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The automatic summarization of scientific articles differs from the summarization of generic texts due to their specific structure and inclusion of citation sentences. ...
Automatically summarizing scientific articles would help researchers in their investigation by speeding up the research process. ...
Related work summarization The related work section of a scientific article is usually used to show the distinctions and points of interest of the current work compared with those of previous research ...
doi:10.1016/j.jksuci.2020.04.020
fatcat:zklevq5hkndd7c6p3zazrf5bum
Resolving ambiguity in biomedical text to improve summarization
2012
Information Processing & Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
Access to the vast body of research literature that is now available on biomedicine and related fields can be improved with automatic summarization. ...
This paper describes a summarization system for the biomedical domain that represents documents as graphs formed from concepts and relations in the UMLS Metathesaurus. ...
The graph-based algorithm for summarization algorithm (Section 3) is similar to Personalized PageRank, a graph-based WSD algorithm (Section 4.2). ...
doi:10.1016/j.ipm.2011.09.005
fatcat:zlkllbimbbatteasqry6ummtju
Visual Summarization of Scholarly Videos Using Word Embeddings and Keyphrase Extraction
[chapter]
2019
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1912.10809v1 fatcat:etwfsw6wnbhlbcdlwpupwwhmqu
In this paper, we present an approach that generates a visual summary of video content based on semantic word embeddings and keyphrase extraction. ...
For this purpose, we exploit video annotations that are automatically generated by speech recognition and video OCR (optical character recognition). ...
Visual Summarization of Scientific Video Content In this section, we describe our approach for video content summarization solely based on textual information. ...
doi:10.1007/978-3-030-30760-8_28
fatcat:hr4cw4osprfzhar3tgznhblxqu
Layout Aware Semantic Element Extraction for Sustainable Science & Technology Decision Support
2022
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Moreover, to constructing a scientific knowledge graph consisting of multiple S&T documents, we newly defined an extensible Semantic Elements Knowledge Graph (SEKG) structure. ...
In addition, to illustrate the potential power of our SEKG, we provide two promising application scenarios, such as a scientific knowledge guide across multiple S&T documents and questions and answering ...
Conflicts of Interest: The authors declare no conflict of interest. Sustainability 2022, 14, 2802 ...
doi:10.3390/su14052802
fatcat:eew4bb5q55ccpavk6yxroogsgq
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Conventional solutions to automatic related work summarization rely heavily on human-engineered features. ...
Our motivation is to maintain the topic coherency between a related work section and its target document, where both the textual and graphic contexts play a big role in characterizing the relationship ...
This work is partially supported by the National Science Foundation of China under grant No. 71271034. ...
arXiv:1901.09492v1
fatcat:nwyplxa2u5gmpez3ic6wydfgne
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Conventional solutions to automatic related work summarization rely heavily on humanengineered features. ...
Our motivation is to maintain the topic coherency between a related work section and its target document, where both the textual and graphic contexts play a big role in characterizing the relationship ...
This work is partially supported by the National Science Foundation of China under grant No. 71271034. ...
doi:10.18653/v1/d18-1204
dblp:conf/emnlp/WangLG18
fatcat:5u3y6mv7kjgddihhfdwvdxv2ra
The contribution of cause-effect link to representing the core of scientific paper—The role of Semantic Link Network
2018
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
on four schemes of incorporating cause-effect link into the existing instances of the Semantic Link Network for enhancing the summarization of scientific papers are investigated. ...
content services such as summarization, recommendation and question answering based on the Semantic Link Network, and it can inspire relevant research on content computing. ...
at Chinese Academy of Sciences, and University of Chinese Academy of Sciences. ...
doi:10.1371/journal.pone.0199303
pmid:29928017
pmcid:PMC6013162
fatcat:k7tkc62ef5ecre74syktg233cq
An Automatic Multidocument Text Summarization Approach Based on Naïve Bayesian Classifier Using Timestamp Strategy
2016
The Scientific World Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Nowadays, automatic multidocument text summarization systems can successfully retrieve the summary sentences from the input documents. ...
This paper introduces a new concept of timestamp approach with Naïve Bayesian Classification approach for multidocument text summarization. ...
Conflict of Interests The authors declare that they have no conflict of interests regarding the publication of this paper. ...
doi:10.1155/2016/1784827
pmid:27034971
pmcid:PMC4789525
fatcat:nm3unmc7m5bpfkf65obuwzyqym
Comparing different knowledge sources for the automatic summarization of biomedical literature
2014
Journal of Biomedical Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Objective:: Automatic summarization of biomedical literature usually relies on domain knowledge from external sources to build rich semantic representations of the documents to be summarized. ...
concepts, and different types of relationships (co-occurrence and semantic relations from the UMLS Metathesaurus and Semantic Network) are used to link the concepts in the graph. ...
A semantic graph-based summarizer The summarization system used for our experiments is based on the work presented in [24] . ...
doi:10.1016/j.jbi.2014.07.014
pmid:25066773
fatcat:hw6z3w64nrdfvaa2hysn5bvlqu
Text Summarization Using FrameNet-Based Semantic Graph Model
2016
Scientific Programming
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper proposes a Semantic Graph Model which exploits the semantic information of sentence using FSGM. FSGM treats sentences as vertexes while the semantic relationship as the edges. ...
Text summarization is to generate a condensed version of the original document. ...
Acknowledgments This work is supported by Basic Research of the Ministry of Science and Technology, China (2013FY114000). ...
doi:10.1155/2016/5130603
fatcat:pqzfq5m6ovhm7b4nyr7p6is54i
Multi-document Summarization via Deep Learning Techniques: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2011.04843v2 fatcat:lwdpyj64m5ei7aagyfcu24a5z4Other Versions
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. ...
Our survey, the first of its kind, systematically overviews the recent deep learning based MDS models. ...
In this article, we select, summarize, discuss, and analyze 30 representative works. We used Google Scholar as the main search engine to discover related works. ...
arXiv:2011.04843v3
fatcat:zfi52xxef5g2tjkaw6hgjpwa5i
Review and Comparative Analysis of Topic Identification Techniques
2019
International Journal of Advanced Trends in Computer Science and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Existing solutions include text clustering, latent semantic approach, probabilistic latent semantics approach, latent Dirichlet allocation approach, association rule-based approaches, document clustering ...
Topic identification is an area of data mining that finds common text/ themes from several documents. It is a data summarization technique that helps to summarize documents. ...
In Section 3, we have presented related work carried out over the years by different researchers along with their pros and cons. Section 4 concludes the paper. ...
doi:10.30534/ijatcse/2019/71832019
fatcat:g46lyzxg7jcehlci4r62nxbtpe
Trends in Multi-document Summarization System Methods
2014
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Automatic summarization helps in mining data and delivering timely and cogent information to users. These systems attempt to address the issue of data mining using different summarization methods. ...
This paper discusses existing methods and state of the art in automatic summarisation system from recent articles. Achievement and challenges involve are also discussed. ...
The next section of the paper will explain related work of automatic summarization (AS) system including techniques employed, challenges in summarization automation will be discussed in section three. ...
doi:10.5120/17095-7804
fatcat:vlbwccop3rhftiwanojwkaqfia
« Previous
Showing results 1 — 15 out of 15,487 results