A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries. - Neslihan Iskender; Aleksandra Gabryszak; Tim Polzehl; Leonhard Hennig; Sebastian Möller 001 (QoMEX, 2019)

Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation. - Neslihan Iskender; Tim Polzehl; Sebastian Möller 001 (Eval4NLP, 2020)

Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization. - Neslihan Iskender; Tim Polzehl; Sebastian Möller 001 (LREC, 2020)

Crowdsourcing versus the laboratory: Towards crowd-based linguistic text quality assessment of query-based extractive summarization. - Neslihan Iskender; Tim Polzehl; Sebastian Möller 001 (Qurator, 2020)

On the Impact of Self-efficacy on Assessment of User Experience in Customer Service Chatbot Conversations. - Yuexin Cao; Vicente Iván Sánchez Carmona; Xiaoyi Liu; Changjian Hu; Neslihan Iskender; André Beyer; Sebastian Möller 001; Tim Polzehl (IWSDS, 2021)

Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection. - Neslihan Iskender; Robin Schaefer; Tim Polzehl; Sebastian Möller 001 (NLDB, 2021)

Towards Human-Free Automatic Quality Evaluation of German Summarization. - Neslihan Iskender; Oleg V. Vasilyev 001; Tim Polzehl; John Bohannon; Sebastian Möller 001 (CoRR, 2021)

Does Summary Evaluation Survive Translation to Other Languages? - Neslihan Iskender; Oleg V. Vasilyev 001; Tim Polzehl; John Bohannon; Sebastian Möller 001 (CoRR, 2021)

Towards Personalization by Information Savviness to Improve User Experience in Customer Service Chatbot Conversations. - Tim Polzehl; Yuexin Cao; Vicente Iván Sánchez Carmona; Xiaoyi Liu; Changjian Hu; Neslihan Iskender; André Beyer; Sebastian Möller 001 (VISIGRAPP (2: HUCAPP), 2022)

Does Summary Evaluation Survive Translation to Other Languages? - Spencer Braun; Oleg V. Vasilyev 001; Neslihan Iskender; John Bohannon (NAACL-HLT, 2022)