Results 51 to 60 of about 36,186 (330)

Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2015
In this paper, we present Latent Drichlet Allocation in automatic text summarization to improve accuracy in document clustering. The experiments involving 398 data set from public blog article obtained by using python scrapy crawler and scraper.
Erwin Yudi Hidayat   +4 more
doaj   +1 more source

A Syntax-Augmented and Headline-Aware Neural Text Summarization Method

open access: yesIEEE Access, 2020
With the advent of the information age, excessive information collection leads to information overload. Automatic text summarization technology has become an effective way to solve information overload. This paper proposes an automatic text summarization
Jingwei Cheng, Fu Zhang, Xuyang Guo
doaj   +1 more source

Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data

open access: yes, 2017
Usage of online textual media is steadily increasing. Daily, more and more news stories, blog posts and scientific articles are added to the online volumes.
A Januliene   +8 more
core   +1 more source

Review on automatic text summarization

open access: yesInternational Journal of Engineering & Technology, 2018
Due to the abundant information available in different forms of sources and genres, there is an immense need to summarize the data for humans. Text Summarization has gained more popularity in this fast-growing information age. Past few years have witnessed a rapid growth in the research of summarizing the text automatically using different approaches ...
Abirami Rajasekaran, Dr R. Varalakshmi
openaire   +2 more sources

Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study

open access: yesAdvanced Engineering Materials, EarlyView.
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji   +5 more
wiley   +1 more source

Evaluation of Automatic Legal Text Summarization Techniques for Greek Case Law

open access: yesInformation, 2023
The increasing amount of legal information available online is overwhelming for both citizens and legal professionals, making it difficult and time-consuming to find relevant information and keep up with the latest legal developments.
Marios Koniaris   +3 more
doaj   +1 more source

Understanding Human Preferences for Summary Designs in Online Debates Domain [PDF]

open access: yes, 2016
Research on automatic text summarization has primarily focused on summarizing news, web pages, scientific papers, etc. While in some of these text genres, it is intuitively clear what constitutes a good summary, the issue is much less clear cut in ...
Aker, A., Bontcheva, K., Sanchan, N.
core   +1 more source

Automatic text structuring and summarization

open access: yesInformation Processing & Management, 1997
Abstract In recent years, information retrieval techniques have been used for automatic generation of semantic hypertext links. This study applies the ideas from the automatic link generation research to attack another important problem in text processing—automatic text summarization. An automatic “general purpose” text summarization tool would be of
Gerard Salton   +3 more
openaire   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

open access: yesAdvanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De   +3 more
wiley   +1 more source

Survey of Deep Learning Based Extractive Summarization [PDF]

open access: yesJisuanji kexue yu tansuo
Automatic text summarization (ATS) is a popular research direction in natural language processing, and its main implementation methods are divided into two categories: extractive and abstractive. Extractive summarization directly uses the text content in
TIAN Xuan, LI Jialiang, MENG Xiaohuan
doaj   +1 more source

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