HumEval 2021 — accepted papers
HumEval 2021 is the 2021 edition of the Workshop on Human Evaluation of NLP Systems (HumEval), held in Online, April 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 15 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Online · 🗓 April 2021
All accepted papers (15)
- A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist ↗Shaily Bhatt, Rahul Jain, Sandipan Dandapat et al.
- A Preliminary Study on Evaluating Consultation Notes With Post-Editing ↗Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov et al.
- A View From the Crowd: Evaluation Challenges for Time-Offset Interaction Applications ↗Alberto Chierici, Nizar Habash
- Detecting Post-Edited References and Their Effect on Human Evaluation ↗Věra Kloudová, Ondřej Bojar, Martin Popel
- Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation ↗Jakob Nyberg, Maike Paetzel, Ramesh Manuvinakurike
- Interrater Disagreement Resolution: A Systematic Procedure to Reach Consensus in Annotation Tasks ↗Yvette Oortwijn, Thijs Ossenkoppele, Arianna Betti
- Is This Translation Error Critical?: Classification-Based Human and Automatic Machine Translation Evaluation Focusing on Critical Errors ↗Katsuhito Sudoh, Kosuke Takahashi, Satoshi Nakamura
- It's Commonsense, isn't it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems ↗Miruna-Adriana Clinciu, Dimitra Gkatzia, Saad Mahamood
- On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs ↗Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann et al.
- Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead ↗Neslihan Iskender, Tim Polzehl, Sebastian Möller
- The Great Misalignment Problem in Human Evaluation of NLP Methods ↗Mika Hämäläinen, Khalid Alnajjar
- Towards Objectively Evaluating the Quality of Generated Medical Summaries ↗Francesco Moramarco, Damir Juric, Aleksandar Savkov et al.
- Trading Off Diversity and Quality in Natural Language GenerationHugh Zhang, Daniel Duckworth, Daphne Ippolito et al.our summary
Papers with our summary in our library (1)
- Trading Off Diversity and Quality in Natural Language GenerationWorkshop on Human Evaluation of NLP Systems (HumEval)Hugh Zhang, Daniel Duckworth, Daphne Ippolito, et al.2021 · 88 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Arvind Neelakantan1 work here · 88 citations🧑🔬Daniel Duckworth1 work here · 88 citations🧑🔬Daphne Ippolito1 work here · 88 citations🧑🔬Hugh Zhang1 work here · 88 citations
Top institutions
🏢GoogleMountain View ·
United States1 work here🏢OpenAISan Francisco ·
United States1 work here🎓University of PennsylvaniaPhiladelphia ·
United States1 work here🎓Stanford UniversityStanford ·
United States1 work here
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