Neslihan Iskender

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 10

Top Topics

Extractive Summarization

Quality Assessment

Document Summaries

Summary Generation

Top Venues

VISIGRAPP (2: HUCAPP)

Publications

Spencer Braun, Oleg V. Vasilyev, Neslihan Iskender, John Bohannon
Does Summary Evaluation Survive Translation to Other Languages? NAACL-HLT (2022)
Tim Polzehl, Yuexin Cao, Vicente Iván Sánchez 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. VISIGRAPP (2: HUCAPP) (2022)
Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller
Does Summary Evaluation Survive Translation to Other Languages? CoRR (2021)
Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller
Towards Human-Free Automatic Quality Evaluation of German Summarization. CoRR (2021)
Yuexin Cao, Vicente Iván Sánchez 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. IWSDS (2021)
Neslihan Iskender, Robin Schaefer, Tim Polzehl, Sebastian Möller
Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection. NLDB (2021)
Neslihan Iskender, Tim Polzehl, Sebastian Möller
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization. LREC (2020)
Neslihan Iskender, Tim Polzehl, Sebastian Möller
Crowdsourcing versus the laboratory: Towards crowd-based linguistic text quality assessment of query-based extractive summarization. Qurator (2020)
Neslihan Iskender, Tim Polzehl, Sebastian Möller
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation. Eval4NLP (2020)
Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, Sebastian Möller
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries. QoMEX (2019)