Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
[BOK][B] Knowledge graphs
Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …
millions soon billions of households, making AI an everyday experience. We can now look …
Anatomy of an online misinformation network
Massive amounts of fake news and conspiratorial content have spread over social media
before and after the 2016 US Presidential Elections despite intense fact-checking efforts …
before and after the 2016 US Presidential Elections despite intense fact-checking efforts …
Web scra**: state-of-the-art and areas of application
Main objective of Web Scra** is to extract information from one or many websites and
process it into simple structures such as spreadsheets, database or CSV file. However, in …
process it into simple structures such as spreadsheets, database or CSV file. However, in …
Computer and world wide web accessibility by visually disabled patients: Problems and solutions
Rapid advances in information technology have dramatically transformed the world during
the past several decades. Access to computers and the World Wide Web is increasingly …
the past several decades. Access to computers and the World Wide Web is increasingly …
A novel web scra** approach using the additional information obtained from web pages
E Uzun - IEEE Access, 2020 - ieeexplore.ieee.org
Web scra** is a process of extracting valuable and interesting text information from web
pages. Most of the current studies targeting this task are mostly about automated web data …
pages. Most of the current studies targeting this task are mostly about automated web data …
Learning block importance models for web pages
Previous work shows that a web page can be partitioned into multiple segments or blocks,
and often the importance of those blocks in a page is not equivalent. Also, it has been …
and often the importance of those blocks in a page is not equivalent. Also, it has been …
Klotski: Reprioritizing web content to improve user experience on mobile devices
Despite web access on mobile devices becoming commonplace, users continue to
experience poor web performance on these devices. Traditional approaches for improving …
experience poor web performance on these devices. Traditional approaches for improving …
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR)-a method to extract content text from
diverse webpages by using the HTML document's tag ratios. We describe how to compute …
diverse webpages by using the HTML document's tag ratios. We describe how to compute …
[PDF][PDF] An analysis of statistical models and features for reading difficulty prediction
A reading difficulty measure can be described as a function or model that maps a text to a
numerical value corresponding to a difficulty or grade level. We describe a measure of …
numerical value corresponding to a difficulty or grade level. We describe a measure of …