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OTTers: One-turn Topic Transitions for Open-Domain Dialogue
Sevegnani, Karin; Howcroft, David M.; Konstas, Ioannis. - : Association for Computational Linguistics (ACL), 2021
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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
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3
Grounded Neural Generation ...
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OTTers: One-turn Topic Transitions for Open-Domain Dialogue ...
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5
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI ...
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What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think ...
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7
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ...
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8
AggGen: Ordering and Aggregating while Generating ...
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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
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10
SLURP: A Spoken Language Understanding Resource Package ...
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SLURP: A Spoken Language Understanding Resource Package ...
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SLURP: A Spoken Language Understanding Resource Package ...
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13
Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas ...
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14
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ...
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15
RankME: Reliable Human Ratings for Natural Language Generation ...
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Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity ...
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17
Findings of the E2E NLG Challenge ...
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18
The E2E Dataset: New Challenges For End-to-End Generation ...
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19
The E2E Challenge Dataset ...
Novikova, Jekaterina; Dusek, Ondrej; Rieser, Verena. - : Heriot-Watt University, 2017
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20
The REAL corpus
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