2024-03-29T10:26:14Z
https://zenodo.org/oai2d
oai:zenodo.org:2391085
2020-01-20T14:40:51Z
user-niaaproceedings1718
Dana Hakman, Cérise Muller, Victor de Boer, Petra Bos
2018-12-18
<p>It has been estimated that majority of children worldwide learn two languages before puberty. As bilingualism often comes with errors it is difficult to diagnose whether a child has a language impairment or if the errors come from being less fluent in both languages. Especially for speech therapists who only know one out of two (or more) languages, it can be a difcult task. In this research, the goal is to develop a knowledge base with information on common minority languages spoken in the Netherlands that has a clear structure and is user-friendly. The research question focuses on how to improve the existing knowledge structure to help speech therapists work with bilingual children that have a possible Specifc Language Impairment (SLI) diagnosis. This is achieved by focusing on what type of information is necessary for speech therapists and how that information flows through the knowledge base.</p>
<p>We present a case study in improving a collaborative wiki for linguistic diagnostics using an in-depth, structured and user-centric<br>
method. This method utilizes extensive user studies with professional users. We show that this approach can identify structural<br>
issues at the level of the information architecture as well as the User Interface of a web site.<br>
</p>
https://doi.org/10.5281/zenodo.2391085
oai:zenodo.org:2391085
eng
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2391084
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
language impairment, speech, wiki, hci, knowledge base, bilingual, applied linguistics
A Knowledge Base Supporting the Assessment of Language Impairment in Bilingual Children
info:eu-repo/semantics/article
oai:zenodo.org:2546800
2020-01-20T15:30:16Z
user-niaaproceedings1718
Frederik Lukas Koenig
John Can Lokman
Sascha Friesike
Ali Khalili
2019-01-22
<p>Interdisciplinary research receives increasing attention from academics, research organizations, and funding bodies. It is seen as a promising avenue to develop novel insights. However, it is also considered to be more complicated to set up and to conduct successfully. To make the scattered literature on the subject accessible and to derive implications for both individual researchers and policy makers, we propose that interdisciplinary research can be conceptualized as a set of five dilemmas. Based on an extensive and systematic literature review of 137 research articles we present these dilemmas to better structure the main promises and pitfalls of interdisciplinary research. The value of conceptualizing interdisciplinary research this way is three-fold: (1) it makes existing research on the topic accessible as it structures the highly dispersed debates, (2) it provides implications for individual researchers active in an increasingly interdisciplinary academic environment, and (3) it supports research organizations and funding bodies in developing strategies to support an interdisciplinary research ecosystem. We also present a data preprocessing, exploration, and analysis framework in later sections of the report. This technical framework is aimed at accelerating studies of interdisciplinarity (and for testing our framework in follow-up studies) by streamlining common tasks such as data cleaning and enrichment, and automatic detection of interdisciplinary bodies of work in large bibliometric databases.<br>
</p>
https://doi.org/10.5281/zenodo.2546800
oai:zenodo.org:2546800
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2546799
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
interdisciplinary research
systematic review
scientometrics
linked data
The five dilemmas of interdisciplinary research and how to deal with them: a review
info:eu-repo/semantics/article
oai:zenodo.org:2546804
2020-01-20T15:00:07Z
user-niaaproceedings1718
Lesia Tkacz
Robin Kumar Sharma
Chantal van Son
Davide Ceolin
2019-01-22
<p>In this abstract, we address the problem of information overload that web users face when researching controversial topics on the web. The ultimate goal of our project is to design a tool to aid users in reviewing and learning about the quality and content of large document collections online.</p>
<p>We highlight the challenges as well as the previous and future steps taken to develop a document information quality visualization tool. This lays the explorative groundwork for developing a web browser tool which efciently informs users about the quality of web documents according to 8 quality dimensions. We also address the challenges of identifying author and source perspectives in documents and collections of controversial debate related text. We use Natural Language Processing (NLP) methods to explore these linguistic features and to extract important textual content with which to contextualize the document information quality. Finally, we motivate our planned crowd-sourced study which is designed to explore the feasibility of automatically evaluating contradictory perspectives across controversial documents. We take the highly publicized vaccination debate as a focal point with which to focus development<br>
</p>
https://doi.org/10.5281/zenodo.2546804
oai:zenodo.org:2546804
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2546803
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Quality metrics
document quality
web science
natural language processing
vaccination debate
Laying the Explorative Groundwork for Document Quality Assessment and Perspective Detection
info:eu-repo/semantics/article
oai:zenodo.org:2390917
2020-01-20T14:36:29Z
user-niaaproceedings1718
Victor de Boer, Antske Fokkens, Christine Moser, Ivar Vermeulen
2018-12-18
<p>Frontmatter for the Proceedings of the Netwerk Institute Academy Assistants programme 2017-2018</p>
https://doi.org/10.5281/zenodo.2390917
oai:zenodo.org:2390917
eng
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2390916
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
frontmatter, proceedings, niaa, vu,
Frontmatter - Proceedings of the Netwerk Institute Academy Assistants programme 2017-2018
info:eu-repo/semantics/other
oai:zenodo.org:2546802
2020-01-20T17:12:59Z
user-niaaproceedings1718
Etienne P. van de Bijl
Cody Kingham
Wido van Peursen
Sandjai Bhulai
2019-01-22
<p>There is currently a disagreement in the field of Hebrew Studies on the methods used to date individual books within the Hebrew Bible. An important question in this debate is if linguistic differences between the books are significant enough to warrant a diachronic explanation. In this project, we seek to answer whether differences in syntax between the books are large enough to merit groupings into Standard or Late Biblical Hebrew. We use a statistical tool called Markov Chains, which models transition dependency in sequences. Our method takes into account word and phrase order for parts of speech, phrase functions, and phrase types. We then cluster the books based on their statistical similarities. Our results may corroborate key claims of the diachronic approach<br>
</p>
https://doi.org/10.5281/zenodo.2546802
oai:zenodo.org:2546802
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2546801
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Hebrew bible, Markov Chains, Clustering, Statistics
A Probabilistic Approach to Syntactic Variation in Biblical Hebrew
info:eu-repo/semantics/article
oai:zenodo.org:2546810
2020-01-20T14:02:12Z
user-niaaproceedings1718
Suzana Bašić
Benthe S. Spijkers
Jaap W. Ouwerkerk
Ivar E. Vermeulen
Guido M. van Koningsbruggen
Antske Fokkens
2019-01-22
<p>Consistent with psychological theory and research, in the present study we demonstrate that people display a generic optimistic bias by showing more positive sentiment in social media messages about the future rather than the past. In addition, we outline a method for evaluating the validity of the commercial monitoring tool used for the automated sentiment analysis, thereby assessing the usefulness of such a tool in web-based research into human behavior<br>
</p>
https://doi.org/10.5281/zenodo.2546810
oai:zenodo.org:2546810
Zenodo
https://zenodo.org/communities/niaaproceedings1718
https://doi.org/10.5281/zenodo.2546809
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
optimistic bias
social media analysis
sentiment analysis
Assessment of an Optimistic Bias in Social Media Messages
info:eu-repo/semantics/article