Neslihan Iskender

According to our database, Neslihan Iskender authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Does Summary Evaluation Survive Translation to Other Languages?

Spencer Braun, Oleg V. Vasilyev, Neslihan Iskender, John Bohannon

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Does Summary Evaluation Survive Translation to Other Languages?

Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller

CoRR, 2021

Towards Human-Free Automatic Quality Evaluation of German Summarization.

Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller

CoRR, 2021

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

Neslihan Iskender, Robin Schaefer, Tim Polzehl, Sebastian Möller

Proceedings of the Natural Language Processing and Information Systems, 2021

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, Tim Polzehl

Proceedings of the Conversational AI for Natural Human-Centric Interaction, 2021

2020

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

Neslihan Iskender, Tim Polzehl, Sebastian Möller

Proceedings of the Conference on Digital Curation Technologies (Qurator 2020), Berlin, Germany, January 20th, 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

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

Neslihan Iskender, Tim Polzehl, Sebastian Möller

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019

A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries.

Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, Sebastian Möller

Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019