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Open AccessProceedings ArticleDOI

Interactive Abstractive Summarization for Event News Tweets.

TLDR
A novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts, providing a bullet-style summary while allowing to attain the most important information first and interactively drill down to more specific details.
Abstract
We present a novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts. We incorporate a couple of interaction mechanisms, providing a bullet-style summary while allowing to attain the most important information first and interactively drill down to more specific details. A usability study of our implementation, for event news tweets, suggests the utility of our approach for text exploration.

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Citations
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Journal ArticleDOI

Mining social media for newsgathering: A review

TL;DR: An overview of research in data mining and natural language processing for mining social media for newsgathering is provided, and five different areas that researchers have worked on to mitigate the challenges inherent to social media newsg gathering are discussed.
Proceedings ArticleDOI

Extending Multi-Document Summarization Evaluation to the Interactive Setting.

TL;DR: This paper develops an end-to-end evaluation framework for interactive summarization, focusing on expansion-based interaction, which considers the accumulating information along a user session.
Posted Content

Preference-based Interactive Multi-Document Summarisation.

TL;DR: Li et al. as discussed by the authors proposed an active preference-based ReInforcement Learning (APRIL) framework, which uses active learning to query the user, preference learning to learn a summary ranking function from the preferences, and neural reinforcement learning to efficiently search for the (near-)optimal summary.
Journal ArticleDOI

Opportunities and risks of disaster data from social media: a systematic review of incident information

TL;DR: This work reviews 37 disaster and incident databases covering 27 incident types, compile a unified overview of the contained data and their collection processes, and identifies the missing or incomplete information.
Journal ArticleDOI

Title-Based Extraction of News Contents for Text Mining

TL;DR: This paper proposes a title-based web content extracting model TWCEM to extract the contents of each web page, which leverage the title information to Extract the web content.
References
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Book

Usability Engineering

Jakob Nielsen
TL;DR: This guide to the methods of usability engineering provides cost-effective methods that will help developers improve their user interfaces immediately and shows you how to avoid the four most frequently listed reasons for delay in software projects.
Book ChapterDOI

SUS: A 'Quick and Dirty' Usability Scale

John Brooke
TL;DR: This chapter describes the System Usability Scale (SUS) a reliable, low-cost usability scale that can be used for global assessments of systems usability.
Proceedings ArticleDOI

Toward Abstractive Summarization Using Semantic Representations

TL;DR: This work focuses on the graph-tograph transformation that reduces the source semantic graph into a summary graph, making use of an existing AMR parser and assuming the eventual availability of an AMR-totext generator.
Posted Content

Toward Abstractive Summarization Using Semantic Representations

TL;DR: This article presented a novel abstractive summarization framework that draws on the recent development of a treebank for the Abstract Meaning Representation (AMR), in which the source text is parsed to a set of AMR graphs, the graphs are transformed into a summary graph, and then text is generated from the summary graph.
Journal ArticleDOI

Building event-centric knowledge graphs from news

TL;DR: This paper presents an approach to create Event-Centric Knowledge Graphs (ECKGs) using state-of-the-art natural language processing and semantic web techniques, and shows how approaching information from news in an event-centric manner can increase the user's understanding of the domain, facilitates the reconstruction of news story lines, and enable to perform exploratory investigation of news hidden facts.
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