Inhalt des Dokuments

[1]- © Copyright??
Research Group
Crowdsourcing and Open Data [2]
Teaching
- Study Project Quality &
Usability (Since SS 2018)
- Interdiziplinäres
Medienprojekt (Since SS 2018)
- Usability Engineering
(Exercise SS 2018)
Biography
Neslihan Iskender received her Bachelor and Master of Science
degree in Industrial Engineering and Management at the Karlsruhe
Institute of Technology. During her studies, she focused on managing
new technologies and innovation management. Since May 2017, she is
employed as a research assistant at the Quality and Usability Labs
where she is working towards a PhD in the field of crowdsourcing. Her
research Topics are:
- Crowd assessments: Usability, UX, QoE,
Quality
- Real-time interaction, human computation as a service,
(HuaaS)
- Hybrid Worfklows for micro-task
crowdsourcing
- Internal Crowdsourcing
Current Projects
- DEKA - Design
und Entwicklung einer kollaborativen digitalen Arbeitsplattform
für die Digitalisierung von Innovationsprozessen
[3]
Past Projects
- ERICS – European
Refugee Information and Communication Service (EIT-Digital, Project
Lead) [4]
- OurPuppet: Pflegeunterstützung mit einer
interaktiven Puppe für informell Pflegende (BMBF [5])
- ICU -
Internes Crowdsourcing in Unternehmen: Arbeitnehmergerechte
Prozessinnovationen durch digitale Beteiligung von Mitarbeiter/innen
(BMBF) [6]
Contact
E-Mail: neslihan.iskender@tu-berlin.de
Phone: +49 (30) 8353-58347
Fax: +49 (30) 8353-58409
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Publications
Sortieren nach:
Autor [7]
Jahr [8]
Journal [9]
2021
Iskender, Neslihan and Polzehl, Tim and Möller,
Sebastian (2021). Reliability of Human Evaluation for Text
Summarization: Lessons Learned and Challenges Ahead [10].
Proceedings of the Workshop on Human Evaluation of NLP Systems.
Association for Computational Linguistics, 86–96.
Link zur Publikation [11] Link zur
Originalpublikation [12]
Iskender, Neslihan and Polzehl, Tim and Möller,
Sebastian (2021). Towards Hybrid Human-Machine Workflow for Natural
Language Generation [13]. Proceedings of the First Workshop on
Bridging Human–Computer Interaction and Natural Language
Processing. Association for Computational Linguistics,
1–7.
Link zur Publikation [14] Link zur
Originalpublikation [15]
Iskender, Neslihan and Polzehl, Tim (2021). An
Empirical Analysis of an Internal Crowdsourcing Platform: IT
Implications for Improving Employee Participation [16]. Internal
Crowdsourcing in Companies: Theoretical Foundations and Practical
Applications. Springer International Publishing,
103–134.
Link zur Publikation [17] Link zur
Originalpublikation [18]
Wedel, Marco and Ulbrich, Hannah and Pohlisch,
Jakob and Göll, Edgar and Uhl, André and Iskender, Neslihan and
Polzehl, Tim and Schröter, Welf and Porth, Florian (2021). Internes
Crowdsourcing in Unternehmen [19]. Arbeit in der digitalisierten
Welt: Praxisbeispiele und Gestaltungslösungen aus dem
BMBF-Förderschwerpunkt. Springer Berlin Heidelberg,
335–349.
Link zur Publikation [20] Link zur
Originalpublikation [21]
2020
Iskender, Neslihan and Polzehl, Tim and Möller,
Sebastian (2020). Best Practices for Crowd-based Evaluation of German
Summarization: Comparing Crowd, Expert and Automatic Evaluation [22].
Proceedings of the First Workshop on Evaluation and Comparison of
NLP Systems. Association for Computational Linguistics (ACL),
164–175.
Link zur Publikation [23] Link zur
Originalpublikation [24]
Iskender, Neslihan and Polzehl, Tim and Möller,
Sebastian (2020). Towards a Reliable and Robust Methodology for
Crowd-Based Subjective Quality Assessment of Query-Based Extractive
Text Summarization [25]. Proceedings of The 12th Language
Resources and Evaluation Conference. European Language Resources
Association (ELRA), 245–253.
Link zur Publikation [26] Link zur
Originalpublikation [27]
Iskender, Neslihan and Polzehl, Tim and Möller,
Sebastian (2020). Crowdsourcing versus the laboratory: towards
crowd-based linguistic text quality assessment of query-based
extractive summarization [28]. Proceedings of the Conference on
Digital Curation Technologies (Qurator 2020). CEUR,
1–16.
Link zur Publikation [29] Link zur
Originalpublikation [30]
2019
Iskender, Neslihan and Gabryszak, Aleksandra and
Polzehl, Tim and Hennig, Leonhard and Möller, Sebastian (2019). A
Crowdsourcing Approach to Evaluate the Quality of Query-based
Extractive Text Summaries [31]. 2019 Eleventh International
Conference on Quality of Multimedia Experience (QoMEX). IEEE,
1–3.
Link zur Publikation [32]
Mittag, Gabriel and Liedtke, Louis and Iskender,
Neslihan and Naderi, Babak and Hübschen, Tobias and Schmidt, Gerhard
and Möller, Sebastian (2019). Einfluss der Position und
Stimmhaftigkeit von verdeckten Paketverlusten auf die Sprachqualität
[33]. Fortschritte der Akustik - DAGA 2019. Deutsche
Gesellschaft für Akustik DEGA e.V., 950–953.
Link zur Publikation [34]
Publications
Sortieren nach:
Autor [35]
Jahr [36]
Journal [37]
2018
Barz, Michael and Büyükdemircioglu, Neslihan
and Prasad Surya, Rikhu and Polzehl, Tim and Sonntag, Daniel (2018).
Device-Type Influence in Crowd-based Natural Language Translation
Tasks [38]. Proceedings of the 1st Workshop on Subjectivity,
Ambiguity and Disagreement (SAD) in Crowdsourcing 2018, and the 1st
Workshop CrowdBias'18: Disentangling the Relation Between
Crowdsourcing and Bias Management, 93–97.
Link zur Publikation [39] Link zur
Originalpublikation
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[1]
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[2]
https://www.qu.tu-berlin.de/menue/forschung/gruppen
/crowdsourcing_and_open_data/
[3]
https://www.qu.tu-berlin.de/menue/forschung/laufend
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[4]
http://www.qu.tu-berlin.de/menue/forschung/laufende
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[5]
http://www.qu.tu-berlin.de/menue/forschung/laufende
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[6]
http://www.qu.tu-berlin.de/menue/forschung/laufende
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[7]
https://www.qu.tu-berlin.de/menue/team/researchers/
neslihaniskender/?type=1&tx_sibibtex_pi1%5Bsort%5D=
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[11]
https://www.qu.tu-berlin.de/fileadmin/fg41/publica
tions/iskender_2021_reliability-of-human-evaluation-for
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ad.pdf
[12]
https://www.aclweb.org/anthology/2021.humeval-1.10
[13]
https://www.qu.tu-berlin.de/menue/team/researchers
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[15]
https://www.aclweb.org/anthology/2021.hcinlp-1.1
[16]
https://www.qu.tu-berlin.de/menue/team/researchers
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[18] https://doi.org/10.1007/978-3-030-52881-2_6
[19]
https://www.qu.tu-berlin.de/menue/team/researchers
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[20]
https://www.qu.tu-berlin.de/fileadmin/fg41/publica
tions/wedel_2021_internes-crowdsourcing-in-unternehmen.
pdf
[21]
https://doi.org/10.1007/978-3-662-62215-5_22
[22]
https://www.qu.tu-berlin.de/menue/team/researchers
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tions/iskender_2020_best-practices-for-crowd-based-eval
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[24]
https://www.aclweb.org/anthology/2020.eval4nlp-1.1
6.pdf
[25]
https://www.qu.tu-berlin.de/menue/team/researchers
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[27]
https://www.aclweb.org/anthology/2020.lrec-1.31
[28]
https://www.qu.tu-berlin.de/menue/team/researchers
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[30] http://ceur-ws.org/Vol-2535/paper_15.pdf
[31]
https://www.qu.tu-berlin.de/menue/team/researchers
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[35]
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