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1
Rethinking Automatic Evaluation in Sentence Simplification
In: https://hal.inria.fr/hal-03199901 ; 2021 (2021)
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2
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
In: https://hal.inria.fr/hal-03109187 ; 2021 (2021)
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3
QuestEval: Summarization Asks for Fact-based Evaluation
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.sorbonne-universite.fr/hal-03541895 ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana (en ligne), Dominican Republic. pp.6594-6604, ⟨10.18653/v1/2021.emnlp-main.529⟩ ; https://2021.emnlp.org/ (2021)
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4
MLSUM: The Multilingual Summarization Corpus
In: https://hal.sorbonne-universite.fr/hal-02989017 ; 2020 (2020)
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5
MLSUM: The Multilingual Summarization Corpus
In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.sorbonne-universite.fr/hal-03364407 ; 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Online, France. pp.8051-8067, ⟨10.18653/v1/2020.emnlp-main.647⟩ (2020)
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6
MLSUM: The Multilingual Summarization Corpus ...
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7
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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8
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
In: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.sorbonne-universite.fr/hal-02350999 ; 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, China. pp.3237-3247, ⟨10.18653/v1/D19-1320⟩ (2019)
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9
Self-Attention Architectures for Answer-Agnostic Neural Question Generation
In: ACL 2019 - Annual Meeting of the Association for Computational Linguistics ; https://hal.sorbonne-universite.fr/hal-02350993 ; ACL 2019 - Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy. pp.6027-6032, ⟨10.18653/v1/P19-1604⟩ (2019)
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10
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models ...
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11
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ...
Abstract: Several lexica for sentiment analysis have been developed and made available in the NLP community. While most of these come with word polarity annotations (e.g. positive/negative), attempts at building lexica for finer-grained emotion analysis (e.g. happiness, sadness) have recently attracted significant attention. Such lexica are often exploited as a building block in the process of developing learning models for which emotion recognition is needed, and/or used as baselines to which compare the performance of the models. In this work, we contribute two new resources to the community: a) an extension of an existing and widely used emotion lexicon for English; and b) a novel version of the lexicon targeting Italian. Furthermore, we show how simple techniques can be used, both in supervised and unsupervised experimental settings, to boost performances on datasets and tasks of varying degree of domain-specificity. ... : 12 pages, 2 figures ...
Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1810.03660
https://arxiv.org/abs/1810.03660
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12
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ...
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13
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality ...
Guerini, Marco; Staiano, Jacopo. - : arXiv, 2015
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14
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News ...
Staiano, Jacopo; Guerini, Marco. - : arXiv, 2014
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