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CTRL - A Conditional Transformer Language Model for Controllable Generation
Keskar, N. S.; McCann, B.; Varshney, L.; Xiong, C.; and Socher, R. 2019 · 1909
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Better Summarization Evaluation with Word Embeddings for ROUGE
Ng, J.-P.; and Abrecht, V. 2015 · 1930
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Cloze procedure: A new tool for measuring readability
Taylor, W. L. 1953 · 1953
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Automated Text Summarization and the Summarist System
Hovy, E.; and Lin, C.-Y. 1998 · 1998
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BLEU: A Method for Automatic Evaluation of Machine Translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
Lin, C.-Y.; and Hovy, E. 2003 · 2003
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ROUGE: A Package for Automatic Evaluation of Summaries
Lin, C.-Y. 2004 · 2004
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Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics
Lin, C.-Y.; and Och, F. J. 2004 · 2004
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METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
Lavie, A.; and Agarwal, A. 2007 · 2007
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A Survey of Evaluation Metrics Used for NLG Systems
Sai, A. B.; Mohankumar, A. K.; and Khapra, M. M. 2020 · 2008
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Automatically Evaluating Content Selection in Summarization without Human Models
Louis, A.; and Nenkova, A. 2009 · 2009
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Sensitivity of BLANC to human-scored qualities of text summaries
Vasilyev, O.; Dharnidharka, V.; Egan, N.; Chambliss, C.; and Bohannon, J. 2020 · 2010
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Automatically Assessing Machine Summary Content Without a Gold Standard
Louis, A.; and Nenkova, A. 2013 · 2013
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Teaching Machines to Read and Comprehend
Hermann, K. M.; Kocisky, T.; Grefenstette, E.; Espeholt, L.; Kay, W.; Suleyman, M.; and Blunsom, P. 2015 · 2015
Cited alongside, same era.
From Word Embeddings To Document Distances
Kusner, M.; Sun, Y.; Kolkin, N.; and Weinberger, K. 2015 · 2015
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chrF: character n-gram F-score for automatic MT evaluation
Popović, M. 2015 · 2015
Cited alongside, same era.
CIDEr: Consensus-based image description evaluation
Vedantam, R.; Lawrence Zitnick, C.; and Parikh, D. 2015 · 2015
Cited alongside, same era.
Zhu, Y.; Kiros, R.; Zemel, R.; Salakhutdinov, R.; Urtasun, R.; Torralba, A.; and Fidler, S. 2015 · 2015
Cited alongside, same era.
Learning to Score System Summaries for Better Content Selection Evaluation
A Simple Theoretical Model of Importance for Summarization
Peyrard, M. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
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Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Scialom, T.; Lamprier, S.; Piwowarski, B.; and Staiano, J. 2019 · 2019
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The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
Sun, S.; and Nenkova, A. 2019 · 2019
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
Yang, Z.; Dai, Z.; Yang, Y.; Carbonell, J.; Salakhutdinov, R. R.; and Le, Q. V. 2019 · 2019
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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
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Peyrard, M.; Botschen, T.; and Gurevych, I. 2017 · 2017
Cited alongside, same era.
A Semantic QA-Based Approach for Text Summarization Evaluation
Chen, P.; Wu, F.; Wang, T.; and Ding, W. 2018 · 2018
Cited alongside, same era.
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Grusky, M.; Naaman, M.; and Artzi, Y. 2018 · 2018
Cited alongside, same era.
Improving Language Understanding by Generative Pre-Training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts
Clark, E.; Celikyilmaz, A.; and Smith, N. A. 2019 · 2019
Cited alongside, same era.
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Dai, Z.; Yang, Z.; Yang, Y.; Carbonell, J.; Le, Q.; and Salakhutdinov, R. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
Zhao, W.; Peyrard, M.; Liu, F.; Gao, Y.; Meyer, C. M.; and Eger, S. 2019 · 2019
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Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Dathathri, S.; Madotto, A.; Lan, J.; Hung, J.; Frank, E.; Molino, P.; Yosinski, J.; and Liu, R. 2020 · 2020
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SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Gao, Y.; Zhao, W.; and Eger, S. 2020 · 2020
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Fill in the BLANC: Human-free quality estimation of document summaries
Vasilyev, O.; Dharnidharka, V.; and Bohannon, J. 2020 · 2020
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Transformers: State-of-the-Art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Scao, T. L.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. M. 2020 · 2020
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BERTScore: Evaluating Text Generation with BERT
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K. Q.; and Artzi, Y. 2020 · 2020
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SummEval: Re-evaluating Summarization Evaluation
Fabbri, A. R.; Kryściński, W.; McCann, B.; Xiong, C.; Socher, R.; and Radev, D. 2021 · 2021
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