This paper contains a large literature review in the research field of Text Summarisation (TS)
based on Human Language Technologies (HLT). TS helps users manage the vast amount …

Purpose–The purpose of this study is to develop a novel approach to e-participation, which
is based on “passive crowdsourcing” by government agencies, exploiting the extensive …

Character n-grams are widely used in text categorization problems and are the single most
successful type of feature in authorship attribution. Their primary advantage is language …

Crowdsourcing ideas have been developed and initially applied in the private sector, first in
the creative and design industries, and subsequently in many other industries, aiming to …

Web search users are likely to face problems related to the availability of large amounts of
data. As the quantity of online content grows, the risk of missing relevant information during …

Background Medical imaging is critical in clinical practice, and high value radiological
reports can positively assist clinicians. However, there is a lack of methods for determining …

Human Language Technologies (HLT) cover a broad range of activities with the final goal of
enabling people to communicate with machines by using natural communication skills …

Text comparison is an interesting though hard task, with many applications in Natural
Language Processing. This work introduces a new text-similarity measure, which employs …

This chapter describes a real, multi-document, multilingual news summarization application,
named NewSum, the research problems behind it, as well as the novel methods proposed …

Since the late 50's and Luhn [Luh58] the information community has expressed its interest in
summarizing texts. The domains of application of such methodologies are countless …