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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 38 1 OTTers: One-turn Topic Transitions for Open-Domain Dialogue Sevegnani, Karin; Howcroft, David M.; Konstas, Ioannis. - : Association for Computational Linguistics (ACL), 2021 BASE Show details 2 What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think Rieser, Verena; Howcroft, David M.. - : Association for Computational Linguistics (ACL), 2021 Abstract: Previous work has shown that human evaluations in NLP are notoriously under-powered. Here, we argue that there are two common factors which make this problem even worse: NLP studies usually (a) treat ordinal data as interval data and (b) operate under high variance settings while the differences they are hoping to detect are often subtle. We demonstrate through simulation that ordinal mixed effects models are better able to detect small differences between models, especially in high variance settings common in evaluations of generated texts. We release tools for researchers to conduct their own power analysis and test their assumptions. We also make recommendations for improving statistical power. URL: http://researchrepository.napier.ac.uk/Output/2826175 https://napier-surface.worktribe.com/2826175/1/What%20Happens%20If%20You%20Treat%20Ordinal%20Ratings%20As%20Interval%20Data%3F%20Human%20Evaluations%20In%20%7BNLP%7D%20Are%20Even%20More%20Under-powered%20Than%20You%20Think BASE Hide details 3 Grounded Neural Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Rieser, Verena. - : Underline Science Inc., 2021 BASE Show details 4 OTTers: One-turn Topic Transitions for Open-Domain Dialogue ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Howcroft, David; Konstas, Ioannis. - : Underline Science Inc., 2021 BASE Show details 5 ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Abercrombie, Gavin; Cercas Curry, Amanda. - : Underline Science Inc., 2021 BASE Show details 6 What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Howcroft, David M.; Rieser, Verena. - : Underline Science Inc., 2021 BASE Show details 7 MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dusek, Ondrej; Konstas, Ioannis. - : Underline Science Inc., 2021 BASE Show details 8 AggGen: Ordering and Aggregating while Generating ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Dusek, Ondrej; Konstas, Ioannis. - : Underline Science Inc., 2021 BASE Show details 9 Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition van Miltenburg, Emiel; Howcroft, David; Rieser, Verena. - : Association for Computational Linguistics (ACL), 2020 BASE Show details 10 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : arXiv, 2020 BASE Show details 11 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 12 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 13 Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas ... The 28th International Conference on Computational Linguistics 2020; Cercas Curry, Amanda; Rieser, Verena. - : Underline Science Inc., 2020 BASE Show details 14 Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ... Dušek, Ondřej; Novikova, Jekaterina; Rieser, Verena. - : arXiv, 2019 BASE Show details 15 RankME: Reliable Human Ratings for Natural Language Generation ... Novikova, Jekaterina; Dušek, Ondřej; Rieser, Verena. - : arXiv, 2018 BASE Show details 16 Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity ... Xu, Xinnuo; Dušek, Ondřej; Konstas, Ioannis. - : arXiv, 2018 BASE Show details 17 Findings of the E2E NLG Challenge ... Dušek, Ondřej; Novikova, Jekaterina; Rieser, Verena. - : arXiv, 2018 BASE Show details 18 The E2E Dataset: New Challenges For End-to-End Generation ... Novikova, Jekaterina; Dušek, Ondřej; Rieser, Verena. - : arXiv, 2017 BASE Show details 19 The E2E Challenge Dataset ... Novikova, Jekaterina; Dusek, Ondrej; Rieser, Verena. - : Heriot-Watt University, 2017 BASE Show details 20 The REAL corpus Gkatzia, Dimitra; Rieser, Verena; Bartie, Phil. - 2016 BASE Show details Page: 1 2

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