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1706.09799
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Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
29 June 2017
Shikhar Sharma
Layla El Asri
Hannes Schulz
Jeremie Zumer
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Papers citing
"Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation"
50 / 103 papers shown
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GPTs Are Multilingual Annotators for Sequence Generation Tasks
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Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
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226
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Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
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Semantic similarity prediction is better than other semantic similarity measures
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341
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298
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307
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Fine-grained Text Style Transfer with Diffusion-Based Language Models
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266
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272
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175
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LongForm: Effective Instruction Tuning with Reverse Instructions
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312
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J. Nie
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232
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Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
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252
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Tree-Based Representation and Generation of Natural and Mathematical Language
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255
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idT5: Indonesian Version of Multilingual T5 Transformer
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264
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Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
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127
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Social Biases in Automatic Evaluation Metrics for NLG
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225
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Understanding Metrics for Paraphrasing
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313
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International Joint Conference on Artificial Intelligence (IJCAI), 2022
Liqi Yan
Qifan Wang
Yiming Cui
Fuli Feng
Xiaojun Quan
Xinming Zhang
Dongfang Liu
317
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Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer
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Ruijia Cheng
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180
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Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation
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Alex Papadopoulos Korfiatis
Mark Perera
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Jack Flann
Ehud Reiter
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211
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Efficient Long Sequence Encoding via Synchronization
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223
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NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
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Fawaz Sammani
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439
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On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation
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Debanjan Mahata
Cornelia Caragea
287
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Assemble Foundation Models for Automatic Code Summarization
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
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P. Salza
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355
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L-Verse: Bidirectional Generation Between Image and Text
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Taehoon Kim
Gwangmo Song
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Perturbation CheckLists for Evaluating NLG Evaluation Metrics
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Tanay Dixit
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How to Evaluate Your Dialogue Models: A Review of Approaches
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Long Qin
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209
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Tailor: Generating and Perturbing Text with Semantic Controls
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Alexis Ross
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371
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Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
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Bingsheng Yao
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Summary Grounded Conversation Generation
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Improving Generation and Evaluation of Visual Stories via Semantic Consistency
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CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
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ReadTwice: Reading Very Large Documents with Memories
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
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291
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Focused Attention Improves Document-Grounded Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
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400
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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
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246
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CURIE: An Iterative Querying Approach for Reasoning About Situations
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289
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Extended Semantic Web Conference (ESWC), 2021
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213
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BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
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241
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