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Publikationen

Seite 3 von 5.

  1. Neslihan Iskender; Robin Schaefer; Tim Polzehl; Sebastian Möller

    Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection

    In: Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB-2021), June 23-25, Saarbrücken/Virtual, Germany, Pages 275-288, NLDB, ISBN 978-3-030-80599-9, Springer International Publishing, 5/2021.

  2. Neslihan Iskender; Tim Polzehl; Sebastian Möller

    Towards Hybrid Human-Machine Workflow for Natural Language Generation

    In: Bridging Human-Computer Interaction and Natural Language Processing - Proceedings of the First Workshop. Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP-2021), located at EACL 2021, April 20, online, Pages 1-7, ISBN 978-1-954085-17-6, Association for Computational Linguistics, 4/2021.

  3. Marco Wedel; Hannah Ulbrich; Jakob Pohlisch; Edgar Göll; André Uhl; Neslihan Iskender; Tim Polzehl; Welf Schröter; Florian Porth

    Internes Crowdsourcing in Unternehmen

    In: Wilhelm Bauer; Susanne Mütze-Niewöhner; Sascha Stowasser; Claus Zanker; Nadine Müller (Hrsg.). Arbeit in der digitalisierten Welt: Praxisbeispiele und Gestaltungslösungen aus dem BMBF-Förderschwerpunkt. Pages 335-349, ISBN 978-3-662-62215-5, Springer Berlin Heidelberg, Berlin, Heidelberg, 2021.

  4. Neslihan Iskender; Tim Polzehl; Sebastian Möller

    Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead

    In: Proceedings of the Workshop on Human Evaluation of NLP Systems. Workshop on Human Evaluation of NLP Systems (HumEval-2021), located at EACL 2021, April 19, Kyiv, Ukraine, Pages 86-96, ISBN 978-1-954085-10-7, Association for Computational Linguistics, 2021.

  5. Yuexin Cao; Vicente Ivan Sanchez Carmona; Xiaoyi Liu; Changjian Hu; Neslihan Iskender; André Beyer; Sebastian Möller; Tim Polzehl

    On the Impact of Self-efficacy on Assessment of User Experience in Customer Service Chatbot Conversations

    In: IWSDS 2021. International Workshop on Spoken Dialogue Systems Technology (IWSDS-2021), Springer, 2021.

  6. Tim Polzehl; Yuexin Cao; Vicente Ivan Sanchez Carmona; Xiaoyi Liu; Changjian Hu; Neslihan Iskender; André Beyer; Sebastian Möller

    Towards Personalization by Information Savviness to Improve User Experience in Customer Service Chatbot Conversations

    In: HUCAPP 2022 - 6th International Conference on Human Computer Interaction Theory and Applications. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2021), Springer, 2021.

  7. Neslihan Iskender; Tim Polzehl; Sebastian Möller

    Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization

    In: Proceedings of The 12th Language Resources and Evaluation Conference. International Conference on Language Resources and Evaluation (LREC-2020), Pages 245-253, LREC, European Language Resources Association (ELRA), 5/2020.

  8. Neslihan Iskender; Tim Polzehl; Sebastian Möller

    Crowdsourcing versus the laboratory: towards crowd-based linguistic text quality assessment of query-based extractive summarization

    In: Adrian Paschke; Clemens Neudecker; Georg Rehm; Jamal Al Qundus; Lydia Pintscher (Hrsg.). Proceedings of the Conference on Digital Curation Technologies (Qurator 2020). Conference on Digital Curation Technologies (QURATOR-2020), January 20-21, Berlin, Germany, Pages 1-16, CEUR, 2020.

  9. Neslihan Iskender; Tim Polzehl; Sebastian Möller

    Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation

    In: Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems. ACL Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP-2020), located at co-located with EMNLP 2020, November 12, Punta Cana, Dominican Republic, Pages 164-175, EMNLP | Eval4NLP, Association for Computational Linguistics (ACL), 2020.

  10. Michael Barz; Neslihan Büyükdemircioglu; Rikhu Prasad Surya; Tim Polzehl; Daniel Sonntag

    Device-Type Influence in Crowd-based Natural Language Translation Tasks (short paper)

    In: Lora Aroyo; Anca Dumitrache; Praveen Paritosh; Alexander J. Quinn; Chris Welty; Alessandro Checco; Gianluca Demartini; Ujwal Gadiraju; Cristina Sarasua (Hrsg.). Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management (SAD 2018 and CrowdBias 2018). Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management (CrowdBias-2018), located at 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), July 5, Zürich, Switzerland, Pages 93-97, CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2276, CEUR-WS.org, 12/2018.