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Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

Fabiano Dalpiaz, Alessio Ferrari, Xavier Franch, Cristina Palomares
2018 IEEE Software  
The RE research community has exploited this opportunity and is trying to make impactful research on the use of NLP tools and techniques in RE practice.  ...  This creates unprecedented opportunities for NLP techniques to be applied to RE practice and to assist in automatically analyzing requirements-related documents.  ...  The future of NLP at RE A brainstorming session was organised at the end of the workshop to discuss to identify future directions of research in the field.  ... 
doi:10.1109/ms.2018.3571242 fatcat:ryf6pqt6pvflnd2krg25niohru

Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study

Abdel-Jaouad Aberkane, Geert Poels, Seppe Vanden Broucke
2021 IEEE Access  
Research on the intersection of GDPR and NLP yielded nine studies, while 20 studies were related to GDPR and RE.  ...  In this research, we consider GDPR-compliance as a high-level goal in software development that should be addressed at the outset of software development, meaning during requirements engineering (RE).  ...  More recently, [21] reported a systematic mapping study of NLP for RE with an ostensibly similar research goal as our first research question.  ... 
doi:10.1109/access.2021.3076921 fatcat:pzccyvxbprc5laah24morqqiru

10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262)

Susan Halford, James A. Hendler, Eirini Ntoutsi, Steffen Staab, Michael Wagner
2019 Dagstuhl Reports  
In total, an interdisciplinary team of 22 researchers from computer science, sociology, philosophy and law gathered and discussed on the past, present and future of Web Science and what sort of actions  ...  the community should take to stay faithful to its initial mission for societal good.  ...  There is a lot of hype at the moment, but one thing is for sure it will become a matter of global competition.  ... 
doi:10.4230/dagrep.8.6.173 dblp:journals/dagstuhl-reports/HalfordHNS18 fatcat:bulf4xjjxzhlvfk3kmtrpep3hu

CORPORATE ACTIVITIES IN SPEECH RECOGNITION AND NATURAL LANGUAGE: ANOTHER "NEW SCIENCE"-BASED TECHNOLOGY

KONSTANTINOS KOUMPIS, KEITH PAVITT
1999 International Journal of Innovation Management  
The small specialised firms depend heavily on nearby universities and public research institutes, and to some extent on nearby large firms; their relations with the large firms are complementary as well  ...  Having built technological capabilities in ASR and NLP with a small proportion of their corporate technological resources, the large firms have two options depending on the rate of progress in these technologies  ...  Dissertation, SPRU, University of Sussex, 1998. A heavily reduced version appeared in the Speech Technology Magazine, Feb/Mar 1999.  ... 
doi:10.1142/s1363919699000177 fatcat:kd3fro3ppndmdcg2mnckosy5ga

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Wim Westera, Rui Prada, Samuel Mascarenhas, Pedro A. Santos, João Dias, Manuel Guimarães, Konstantinos Georgiadis, Enkhbold Nyamsuren, Kiavash Bahreini, Zerrin Yumak, Chris Christyowidiasmoro, Mihai Dascalu (+2 others)
2019 Education and Information Technologies : Official Journal of the IFIP technical committee on Education  
Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused  ...  This article provides a comprehensive overview of artificial intelligence (AI) for serious games.  ...  Ciência e a Tecnologia (FCT-UID/CEC/500 21/2013).  ... 
doi:10.1007/s10639-019-09968-2 fatcat:sozwh55b4jbcdcyrlpj65sfunu

Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review

Goran Medic, Melodi Kosaner Kließ, Louis Atallah, Jochen Weichert, Saswat Panda, Maarten Postma, Amer EL-Kerdi
2019 F1000Research  
CDS systems can be based on existing guidelines or best practices; and can also utilize machine learning to provide a diagnosis, recommendation, or therapy course.  ...  Sensitivity, specificity, and ROC AUC were the most frequently reported performance measures. Conclusion: This review showed an increasing use of Machine Learning for CDS in all three areas.  ...  Acknowledgments We would like to thank Mark Connolly from Global Market Access Solutions Sàrl for his contribution during the whole project.  ... 
doi:10.12688/f1000research.20498.2 fatcat:3tqruz2mibdi7p3753inronu6e

Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review

Goran Medic, Melodi Kosaner Kließ, Louis Atallah, Jochen Weichert, Saswat Panda, Maarten Postma, Amer EL-Kerdi
2019 F1000Research  
CDS systems can be based on existing guidelines or best practices; and can also utilize machine learning to provide a diagnosis, recommendation, or therapy course.  ...  Sensitivity, specificity, and ROC AUC were the most frequently reported performance measures. Conclusion: This review showed an increasing use of Machine Learning for CDS in all three areas.  ...  Acknowledgments We would like to thank Mark Connolly from Global Market Access Solutions Sàrl for his contribution during the whole project.  ... 
doi:10.12688/f1000research.20498.1 pmid:31824670 pmcid:PMC6894361 fatcat:4vcix5gy2jer7mjdtn5xvfrfry

Automated essay scoring in applied games: Reducing the teacher bandwidth problem in online training

Wim Westera, Mihai Dascalu, Hub Kurvers, Stefan Ruseti, Stefan Trausan-Matu
2018 Computers & Education  
, Utrecht University, and Radboud University Nijmegen.  ...  Although the VIBOA game is also in use by the Open University of the Netherlands, we restricted the sample of participants to Utrecht University, which offered the largest user group, for increased homogeneity  ... 
doi:10.1016/j.compedu.2018.05.010 fatcat:lb5suptnxbb7tk4xptfwlo37uu

Pinpointing Ambiguity and Incompleteness in Requirements Engineering via Information Visualization and NLP [chapter]

Fabiano Dalpiaz, Ivor van der Schalk, Garm Lucassen
2018 Lecture Notes in Computer Science  
[Contribution] Our approach is a step forward toward the identification of ambiguity and incompleteness in a set of requirements, still an open issue in RE.  ...  [Principal ideas/results] We propose a tool-supported approach for pinpointing terminological ambiguities between viewpoints as well as missing requirements.  ...  Acknowledgment This project has received funding from the SESAR Joint Undertaking under grant agreement No 699306 under European Union's Horizon 2020 research and innovation programme.  ... 
doi:10.1007/978-3-319-77243-1_8 fatcat:q4it4uabjvf37lqmd4tgby43ou

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge

Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adria Casamitjana, D. Louis Collins, Mahsa Dadar (+32 others)
2019 IEEE Transactions on Medical Imaging  
In addition, the methods were ranked on their inter-scanner robustness; 20 participants submitted their methods for evaluation. This paper provides a detailed analysis of the results.  ...  The challenge remains open for future submissions and provides a public platform for method evaluation.  ...  Imaging data was acquired from five different scanners, from three different vendors, in three different institutes: the University Medical Center (UMC) Utrecht, VU University Medical Centre (VU) Amsterdam  ... 
doi:10.1109/tmi.2019.2905770 pmid:30908194 pmcid:PMC7590957 fatcat:3yttwh4yrja5fhfmp2hi6eb77m

Improving agile requirements: the Quality User Story framework and tool

Garm Lucassen, Fabiano Dalpiaz, Jan Martijn E. M. van der Werf, Sjaak Brinkkemper
2016 Requirements Engineering  
Our tool does not yet reach the ambitious 100 % recall that Daniel Berry and colleagues require NLP tools for RE to achieve.  ...  Relying on natural language processing (NLP) techniques, AQUSA detects quality defects and suggest possible remedies.  ...  Special thanks go to Marcel Robeer who did great work as independent research assistant.  ... 
doi:10.1007/s00766-016-0250-x fatcat:oltwi4zdnvhlvnbmzolaip5ace

BiographyNet: Extracting Relations Between People and Events [article]

Antske Fokkens, Serge ter Braake, Niels Ockeloen, Piek Vossen, Susan Legêne, Guus Schreiber, Victor de Boer
2018 arXiv   pre-print
justified NLP pipeline that works through a user evaluated demonstrator.  ...  BiographyNet's aim is to strengthen the value of the portal and comparable biographical datasets for historical research, by improving the search options and the presentation of its outcome, with a historically  ...  All fields were equally re-presented, which we feel is a necessary condition for making such a project successful.  ... 
arXiv:1801.07073v2 fatcat:cvm2p77p4rgrxiydb465u4dffm

Spoken Language Dialogue Systems and Components: Best practice in development and evaluation (DISC 24823) - Periodic Progress Report 1: Basic Details of the Action [article]

Niels Ole Bernsen and Laila Dybkjaer, eds. (The Natural Interactive Systems Group, Odense University, Denmark)
1998 arXiv   pre-print
A proposal to complete the work proposed above by adding 12 months to the 18 months of the present project, has been submitted to Esprit Long-Term Research in March 1998.  ...  a first best practice methodology in the field.  ...  latest advances in production technology; one for integrating interactive speech-based web search into a European research project; and one for a prototype SLDS in collaboration with local service industry  ... 
arXiv:cs/9809051v1 fatcat:andqdvjsovhmnbfwlmv47m5tw4

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
2021 Journal of Artificial Intelligence for Medical Sciences  
This is particularly important for the applicability of evaluated classifiers to new data, and is also of great interest to practitioners, due to the increased availability of new data in electronic format  ...  ACKNOWLEDGMENTS We acknowledge the COVIDA funding provided by the strategic alliance TU/e, WUR, UU, and UMC Utrecht, which funded this study.  ...  Researchers and practitioners at UMC Utrecht make use of the violence incident reports frequently, and if the number of unreported incidents were large, they would have encountered problems before.  ... 
doi:10.2991/jaims.d.210225.001 fatcat:455kjfcx5rcjbio7t6fhq2b4lu

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern Menze
2018 NeuroImage  
The algorithm was evaluated and ranked 1 st in the WMH Segmentation Challenge at MICCAI 2017.  ...  In the evaluation stage, the implementation of the algorithm was submitted to the challenge organizers, who then independently tested it on a hidden set of 110 cases from 5 scanners.  ...  Kuijf and the joint effort of the UMC Utrecht, VU Amsterdam, and NUHS Singapore for making the datasets and test results available for this research.  ... 
doi:10.1016/j.neuroimage.2018.07.005 pmid:30125711 fatcat:77ujaw5s5ffz3dwwnaexxp46du
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