Statistical and Analytical Study of Guided Abstractive Text Summarization

Kallimani, Jagadish S.; Srinivasa, K. G.; Reddy, B. Eswara

doi:10.18520/cs/v110/i1/65-68

Cited by 3 publications

(6 citation statements)

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“…Discussion: It is well known that abstraction based English text summarization is yet in an immature stage (Ye, Chua, Kan & Qiu, 2007) though the research work on English text summarization was begun in 1958 (Luhn, 1958). In this situation, this method (Kallimani et al, 2014) has reported for Bangla abstractive summarization. Attribute extraction of this method is noticeable which is required for informative sentence generation.…”

Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 98%

“…Abstraction based Bangla text summarization system was proposed for the first time in 2014 by Kallimani, Srinivasa, and Reddy (2014). They focused on a unified model with attribute-based Information Extraction rules and class-based templates.…”

Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 99%

“…TF/IDF rule-based classifier has also been used to categorize the document which determines the applicable classes. In this system (Kallimani, Srinivasa, & Reddy, 2014), classes are blueprints where the identified attributes are set according to this blueprint. Attributes are primary pieces of information as follows -NAME, PLACE, DOB (date of birth), DOD (date of demise), and AWARDS.…”

Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 99%

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Approaches and Trends of Automatic Bangla Text Summarization

Haque

Pervin

Hossain³

et al. 2020

International Journal of Technology Diffusion

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As long as the internet user is increasing, online electronic content is growing proportionally irrespective of languages. A lot of research works on English text summarization have come to light to deal with this gigantic body of online text. Unfortunately, a few works have been accomplished for Bangla though a huge number of people are involved with this language. This article has tried to explore the trend of research work on Bangla text summarization. Fourteen approaches have been briefly expounded here by addressing the pros and cons with some scope of improvement. A comparison has also been turned based on their incorporated features and evaluation results. It is expected that this article will draw the attention of more researchers in the area of Bangla text summarization and give a crystal-clear message about the opportunities to the next generation. The integrated message about all the existing methods has been depicted here to reveal the importance of Bangla text summarization. To the best of the author's knowledge, this is the first review study in this ground.

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Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 98%

Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 99%

Section: Approaches Of Bangla Text Summarizationmentioning

confidence: 99%

See 1 more Smart Citation

Approaches and Trends of Automatic Bangla Text Summarization

Haque

Pervin

Hossain³

et al. 2020

International Journal of Technology Diffusion

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“…Shilpa et al [26], [27] adopted abstractive summary technique in Kannada by presenting Information Extraction (IE) rules and scheme-based Templates. The IE approach gathers the important information from the source document using lexical analysis tools like POS tagger and Named Entity Recognition (NER).…”

Section: E Kannadamentioning

confidence: 99%

An Overview of Semantic Based Document Summarization in Different Languages

Ganesh¹,

Jaya²,

Sunitha³

2022

ECS Trans.

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The evolution of Artificial Intelligence (AI) gave insight into how humans should interact with machines. Natural Language Processing (NLP) is an area under AI, which aims to minimize the communication gap between human and machine. Text summarization is a sub-domain of NLP, which primarily focuses on summarizing text documents into a meaningful summary. Text summarization is useful in the areas, such as media monitoring, search engine optimization (SEO), question answering systems, etc. Lots of research works are carried out in the area of text summarization. A majority of the research works are adopted syntactic approaches. However, the semantic based approaches provide more meaningful summary compared to syntactic approaches. Due to the complexity of the semantic based methods, only few works are reported especially in Indian languages. In this paper, an overview of various semantic based text summarization methods are explored. An extensive review is done in languages, such as English, Arabic, Chinese, Hindi, Kannada, Tamil, and Malayalam. At the end of this survey, a critical analysis was done on various semantic based text summarization techniques. This analysis will not only give insights to potential prospective researchers, but also come up with an improved framework or method for semantic based abstractive text summarization.

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“…The syntactic subject and object are extracted, and a sentence is generated using a language generator. The frames and templates are filled with information extracted from the texts [30,31]; this requires prior knowledge of the domain and a heavy manual effort. Template-based sentence generation compounds the terms extracted from the text with the correct inflections.…”

Section: Semantic-based Approachesmentioning

confidence: 99%

Survey of Scientific Document Summarization Techniques

K¹,

Mathew²

2020

csci

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The number of scientic or research papers published every year is growing at an exponential rate, which has led to an intensive research in scientic document summarization. The different methods commonly used in automatic text summarization are discussed in this paper with their pros and cons. Commonly used evaluation techniques and datasets in this field are also discussed. Rouge and Pyramid scores of the different methods are tabulated for easy comparison of the results.

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Statistical and Analytical Study of Guided Abstractive Text Summarization

Cited by 3 publications

References 0 publications

Approaches and Trends of Automatic Bangla Text Summarization

Approaches and Trends of Automatic Bangla Text Summarization

An Overview of Semantic Based Document Summarization in Different Languages

Survey of Scientific Document Summarization Techniques

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