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A Newly Proposed Technique for Summarizing the Abstractive Newspapers' Articles based on Deep Learning
2020
Zenodo
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It is very difficult for human beings to manually extract the summary of large documents of text. ...
More specific, Abstractive Text Summarization (ATS), is the task of constructing summary sentences by merging facts from different source sentences and condensing them into a shorter representation while ...
Original
Text
Word
segmentation
Phrase
combination
Coreference
resolution
Morphological
reduction
Phrase
acquisition
Phrase
refinement
Processed
text
Phrase
sequence
Text
summary ...
doi:10.5281/zenodo.4420866
fatcat:xqgwahkeinbjfhfeglsmrc3dra
Page 523 of Computational Linguistics Vol. 28, Issue 4
[page]
2002
Computational Linguistics
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
INSPEC database for physics, electronics and computing. http: / /www.iee.org.uk/publish/inspec /
Jing, Hongyan. 2000. Sentence reduction for automatic text summarization. ...
Processing Manual: Rules and Guidelines for the Acquisition, Selection, and Technical Processing of Documents and Journal Articles by the Various Components of the ERIC Network. ERIC. ...
Developing a Computer Assisted Summary Writing Learning Model
2018
International Journal of Learning and Teaching
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Abstract-Summary writing is a process of producing a more concise text through the process of selecting important information and deleting supporting and explanatory details from the source text. ...
From a study conducted on Malaysian undergraduate students, it was found that majority of them were unable to write a good summary due to lack of prior knowledge and functional knowledge of summarizing ...
Previous works on summary writing focus on the quality of written summaries, neglecting the comprehension stage before summarizing a text. ...
doi:10.18178/ijlt.4.2.94-101
fatcat:7kz75dvvdjfbdaim7hfto2hlty
An Overview of Text Summarization
2017
International Journal of Computer Applications
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Automatic text summarization system produces a summary, i.e. short length text that includes all the significant information for the article. ...
As the vast amount of information is available for every theme on Internet, shortening the information in the form of summary would immensely benefit readers. ...
The reduction can significantly improve the conciseness of automatic summaries. ...
doi:10.5120/ijca2017915109
fatcat:hlpvgrzpd5hord5bfy4zndqexi
Specifics of Development of the Integral Method of Knowledge Estimation
2015
Review of European Studies
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results in reduction of the simulating effect of pedagogical grades on the cognitive activity of students and educational process quality in general. ...
Besides, physical acquisition of training material is always possible. ...
Series of various rules for evaluation of grammar quality of the text answer in general may be an estimation criterion γ. ...
doi:10.5539/res.v7n7p284
fatcat:36mptx37fvdzjbdvxglgrdzjnm
Automatic Construction of Machine Translation Knowledge Using Translation Literalness
直訳性を利用した機械翻訳知識の自動構築
2004
Journal of Natural Language Processing
直訳性を利用した機械翻訳知識の自動構築
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The effects are evaluated by the MT quality, and about 4.9% of MT results were improved by the latter method. ...
These rules increase ambiguity or cause incorrect MT results. To overcome this problem, we constrain the sentences used for knowledge extraction to "the appropriate bilingual sentences for the MT." ...
Acknowledgment The research reported here is supported in part by a contract with the Telecommunications Advancement Organization of Japan entitled, "A study of speech dialogue translation technology based ...
doi:10.5715/jnlp.11.2_85
fatcat:ko5jtf73evfdzg4ez4jyrtse4e
The decomposition of human-written summary sentences
1999
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99
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Solving the decomposition problem can potentially lead to the automatic acquisition of large corpora for summarization. It also sheds light on the generation of summary text by cutting and pasting. ...
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. ...
doi:10.1145/312624.312666
dblp:conf/sigir/JingM99
fatcat:ioavoba5ijgvvc5ypbmbxupeie
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization
[article]
2012
arXiv
pre-print
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The results show that Ultra-stemming not only preserve the content of summaries produced by this representation, but often the performances of the systems can be dramatically improved. ...
However, even using normalization on large texts, the curse of dimensionality can disturb the performance of summarizers. ...
Summarization using the Ultra-stemming representation for sentence scoring, improve the identification of most relevant sentences from documents. ...
arXiv:1209.3126v1
fatcat:6lfhnylxdvatlkfimxp2kkmrcu
Generating Indicative-Informative Summaries with SumUM
2002
Computational Linguistics
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Even though some approaches to text summarization produce acceptable summaries for specific tasks, it is generally agreed that the problem of coherent selection and expression of information in text summarization ...
Relying on human judgment, we have evaluated indicativeness, informativeness, and text acceptability of the automatic summaries. ...
We thank also Elliott Macklovitch and Diana Maynard, who helped us improve the quality of our article, and the members of the Laboratoire de Recherche Appliquée en Linguistique Informatique (RALI) for ...
doi:10.1162/089120102762671963
fatcat:ziupshyti5ebhedftovomzz4cm
Automatic Summarization
2011
Foundations and Trends in Information Retrieval
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It then feeds the set of training examples to (3) a learning algorithm that learns the classification rules for determining whether or not a sentence should be part of the summary. ...
Summary type
Length reduction Time reduction
Accuracy loss
User-focused
77%
50%
5%
Generic
90%
60%
0%
Mitre Corp.
November 2000 ...
His research focus is on the intersection of text understanding and information systems and includes text summarization, intelligent text retrieval, acquisition of knowledge from texts, and text mining ...
doi:10.1561/1500000015
fatcat:gfli2ecy55a2dkwleu5b522au4
Automatic Summarization
[chapter]
2014
Natural Language Processing of Semitic Languages
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It then feeds the set of training examples to (3) a learning algorithm that learns the classification rules for determining whether or not a sentence should be part of the summary. ...
Summary type
Length reduction Time reduction
Accuracy loss
User-focused
77%
50%
5%
Generic
90%
60%
0%
Mitre Corp.
November 2000 ...
His research focus is on the intersection of text understanding and information systems and includes text summarization, intelligent text retrieval, acquisition of knowledge from texts, and text mining ...
doi:10.1007/978-3-642-45358-8_12
dblp:series/tanlp/BelguithEMJJB14
fatcat:zxihwcr2azdjlnio53cgrqk6hy
The challenges of automatic summarization
2000
Computer
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It then feeds the set of training examples to (3) a learning algorithm that learns the classification rules for determining whether or not a sentence should be part of the summary. ...
Summary type
Length reduction Time reduction
Accuracy loss
User-focused
77%
50%
5%
Generic
90%
60%
0%
Mitre Corp.
November 2000 ...
His research focus is on the intersection of text understanding and information systems and includes text summarization, intelligent text retrieval, acquisition of knowledge from texts, and text mining ...
doi:10.1109/2.881692
fatcat:tddpln5jsrfhdplkbpf64yqvhu
TEG—a hybrid approach to information extraction
2005
Knowledge and Information Systems
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We also demonstrate the robustness of our system under conditions of poor training-data quality. ...
The model attempts to retain and improve the high accuracy levels of knowledge-based systems while drastically reducing the amount of manual labour by relying on statistics drawn from a training corpus ...
This shows the ability of TEG to effectively ignore bad or inconsistent examples. And it shows the possibility of using TEG to improve the annotation quality. ...
doi:10.1007/s10115-005-0204-y
fatcat:3ouotughtrbqpilvvbbwhstmxy
Text-Mining: Application Development Challenges
[chapter]
2003
Applications and Innovations in Intelligent Systems X
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Special emphasis is placed on post-information extraction processing, such as improving the relevance of the extracted information, summarization models, techniques for handling typographical errors, resolution ...
First, project management issues are discussed, including a process for capturing business requirements and mapping them into features and linguistic patterns, development of linguistic rules, rule development ...
Reduction: This form of summary reduces the size of an article to a specific size or percentage of the original document's length. ...
doi:10.1007/978-1-4471-0649-4_17
fatcat:ruq2vvv5xzbxtp5xl3bpuncjr4
BRIEF BIOGRAPHICAL NOTES
1952
Educational review (Birmingham)
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Originality/value -Several key components are integrated for web site summarization for the first time, including feature selection and link analysis, key phrase and key sentence extraction. ...
Abstract: Purpose -Summarization of an entire Web site with diverse content may lead to a summary heavily biased towards the site's dominant topics. ...
We are very thankful to the authors of the X-means clustering algorithm for making their software available. The anonymous reviewers provided several constructive suggestions. ...
doi:10.1080/0013191520040207
fatcat:lkqhyelrjndfdphmigjurvf24q
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