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Our analysis of large summarization datasets indicates that redundancy is a very serious problem when summarizing long documents. Yet, redundancy reduction has not been thoroughly investigated in neural summarization. In this work, we…

Computation and Language · Computer Science 2020-12-02 Wen Xiao , Giuseppe Carenini

In this paper we present Eurydice, a platform dedicated to provide a unified gateway to documents. Its basic functionalities about collecting documents have been designed based on a long experience about the management of scientific…

Digital Libraries · Computer Science 2007-05-23 Serge Rouveyrol , Yves Chiaramella , Francesca Leinardi , Joanna Janik , Bruno Marmol , Carole Silvy , Catherine Allauzun

Deliberative processes play a vital role in shaping opinions, decisions and policies in our society. In contrast to persuasive debates, deliberation aims to foster understanding of conflicting perspectives among interested parties. The…

Computers and Society · Computer Science 2024-04-17 Moritz Plenz , Philipp Heinisch , Anette Frank , Philipp Cimiano

Spreadsheet technology is a cornerstone of IT systems in most organisations. It is often the glue that binds more structured transaction-based systems together. Financial operations are a case in point where spreadsheets fill the gaps left…

Software Engineering · Computer Science 2011-11-30 Kevin McDaid , Ronan MacRuairi , Neil Clynch , Kevin Logue , Cian Clancy , Shane Hayes

Text summarization is the research area aiming at creating a short and condensed version of the original document, which conveys the main idea of the document in a few words. This research topic has started to attract the attention of a…

Computation and Language · Computer Science 2020-05-12 Shen Gao , Xiuying Chen , Zhaochun Ren , Dongyan Zhao , Rui Yan

This is a draft of a chapter on mathematical logic and foundations for an upcoming handbook of computational proof assistants.

Logic in Computer Science · Computer Science 2021-09-01 Jeremy Avigad

Datasets of visualization play a crucial role in automating data-driven visualization pipelines, serving as the foundation for supervised model training and algorithm benchmarking. In this paper, we survey the literature on visualization…

Human-Computer Interaction · Computer Science 2024-07-24 Can Liu , Ruike Jiang , Shaocong Tan , Jiacheng Yu , Chaofan Yang , Hanning Shao , Xiaoru Yuan

Document clustering is an unsupervised approach in which a large collection of documents (corpus) is subdivided into smaller, meaningful, identifiable, and verifiable sub-groups (clusters). Meaningful representation of documents and…

Information Retrieval · Computer Science 2014-12-08 Muhammad Rafi , Farnaz Amin , Mohammad Shahid Shaikh

Interpretability provides a means for humans to verify aspects of machine learning (ML) models and empower human+ML teaming in situations where the task cannot be fully automated. Different contexts require explanations with different…

Machine Learning · Computer Science 2024-07-15 Zixi Chen , Varshini Subhash , Marton Havasi , Weiwei Pan , Finale Doshi-Velez

This note concerns a search for publications in which the pragmatic concept of a test as conducted in the practice of software testing is formalized, a theory about software testing based on such a formalization is presented or it is…

Software Engineering · Computer Science 2010-08-17 C. A. Middelburg

A systematic mapping is a way to identify, evaluate and interpret all relevant research available to a matter of particular research. One of the reasons for conducting systematic reviews is that it summarizes the existing evidence regarding…

Digital Libraries · Computer Science 2015-04-07 Marco Santos

Explainability is important for the transparency of autonomous and intelligent systems and for helping to support the development of appropriate levels of trust. There has been considerable work on developing approaches for explaining…

Artificial Intelligence · Computer Science 2025-02-17 Michael Winikoff , John Thangarajah , Sebastian Rodriguez

Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scattered in the textual and non-textual content. However,…

Computation and Language · Computer Science 2023-02-09 Shuaiqi Liu , Jiannong Cao , Ruosong Yang , Zhiyuan Wen

It is widely documented that the absence of a structured approach to spreadsheet engineering is a key factor in the high level of spreadsheet errors. In this paper we propose and investigate the application of Test-Driven Development to the…

Software Engineering · Computer Science 2024-12-31 Alan Rust , Brian Bishop , Kevin McDaid

This Paper summarises the operation of software developed for the analysis of workbook structure. This comprises: the identification of layout in terms of filled areas formed into "Stripes", the identification of all the Formula…

Software Engineering · Computer Science 2011-11-30 Bill Bekenn , Ray Hooper

Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our survey, the first of its kind, systematically overviews the…

Computation and Language · Computer Science 2021-12-10 Congbo Ma , Wei Emma Zhang , Mingyu Guo , Hu Wang , Quan Z. Sheng

Spreadsheets are known to be error-prone. Over the last decade, research has been done to determine the causes of the high rate of errors in spreadsheets. This paper examines the added value of a spreadsheet tool (PerfectXL) that visualizes…

Software Engineering · Computer Science 2016-03-09 Simone Schalkwijk , Felienne Hermans , Michiel van der Ven , Hans Duits

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities.…

Applications · Statistics 2022-02-09 Fotios Petropoulos , Daniele Apiletti , Vassilios Assimakopoulos , Mohamed Zied Babai , Devon K. Barrow , Souhaib Ben Taieb , Christoph Bergmeir , Ricardo J. Bessa , Jakub Bijak , John E. Boylan , Jethro Browell , Claudio Carnevale , Jennifer L. Castle , Pasquale Cirillo , Michael P. Clements , Clara Cordeiro , Fernando Luiz Cyrino Oliveira , Shari De Baets , Alexander Dokumentov , Joanne Ellison , Piotr Fiszeder , Philip Hans Franses , David T. Frazier , Michael Gilliland , M. Sinan Gönül , Paul Goodwin , Luigi Grossi , Yael Grushka-Cockayne , Mariangela Guidolin , Massimo Guidolin , Ulrich Gunter , Xiaojia Guo , Renato Guseo , Nigel Harvey , David F. Hendry , Ross Hollyman , Tim Januschowski , Jooyoung Jeon , Victor Richmond R. Jose , Yanfei Kang , Anne B. Koehler , Stephan Kolassa , Nikolaos Kourentzes , Sonia Leva , Feng Li , Konstantia Litsiou , Spyros Makridakis , Gael M. Martin , Andrew B. Martinez , Sheik Meeran , Theodore Modis , Konstantinos Nikolopoulos , Dilek Önkal , Alessia Paccagnini , Anastasios Panagiotelis , Ioannis Panapakidis , Jose M. Pavía , Manuela Pedio , Diego J. Pedregal , Pierre Pinson , Patrícia Ramos , David E. Rapach , J. James Reade , Bahman Rostami-Tabar , Michał Rubaszek , Georgios Sermpinis , Han Lin Shang , Evangelos Spiliotis , Aris A. Syntetos , Priyanga Dilini Talagala , Thiyanga S. Talagala , Len Tashman , Dimitrios Thomakos , Thordis Thorarinsdottir , Ezio Todini , Juan Ramón Trapero Arenas , Xiaoqian Wang , Robert L. Winkler , Alisa Yusupova , Florian Ziel

Modern software development requires developers to find and effectively utilize new APIs and their documentation, but documentation has many well-known issues. Despite this, developers eventually overcome these issues but have no way of…

Human-Computer Interaction · Computer Science 2022-01-12 Amber Horvath , Michael Xieyang Liu , River Hendriksen , Connor Shannon , Emma Paterson , Kazi Jawad , Andrew Macvean , Brad A. Myers

This article gives a brief survey of the theory and applications of anomalies.

High Energy Physics - Theory · Physics 2007-05-23 Stephen L. Adler
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