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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 142 |
„Frische Brot, lecker Brot, taze Brot“ – Eigene Muster in der Adjektivverwendung auf einem mehrsprachigen Wochenmarkt
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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 143 |
Ein Modell zur systematischen Erfassung genuenischer Phraseme in Wörterbüchern, illustriert am Beispiel der Forschungsprojekte GEPHRAS und GEPHRAS2
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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 144 |
The development of the Old High German umlauted vowels and the reflex of New High German /ɛ:/ in Present Standard German
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 145 |
Informationen zu den Beitragenden/Information about the authors
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In: Linguistik Online, Vol 114, Iss 2 (2022) (2022)
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| 146 |
Examining graphemic and lexical anglicisms in Twi for academic purposes in textbooks written in Twi
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 147 |
Formulaic Expressions for Foreign Language Learning and Teaching
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 148 |
The Chinese Messaging Application WeChat as Used by German Speakers in China
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 149 |
Geschlechtsübergreifende Personenbezeichnungen in wissenschaftlichen Zeitschriftenartikeln
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 150 |
Agent Demotion in German and Polish
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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 151 |
Informationen zu den Beitragenden/Information about the authors
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In: Linguistik Online, Vol 113, Iss 1 (2022) (2022)
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| 152 |
Fraseologia dell’algherese: risorse e nuovi impulsi per la fraseografia e la fraseodidattica di una varietà linguistica minoritaria italiana
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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 153 |
Informationen zu den Beitragenden/Information about the authors
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In: Linguistik Online, Vol 112, Iss 7 (2022) (2022)
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| 154 |
Humour et création lexicale dans le discours révolutionnaire du Hirak algérien
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In: Linguistik Online, Vol 115, Iss 3 (2022) (2022)
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| 155 |
A Multi-Level Optimization Framework for End-to-End Text Augmentation
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In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 343-358 (2022) (2022)
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Abstract:
AbstractText augmentation is an effective technique in alleviating overfitting in NLP tasks. In existing methods, text augmentation and downstream tasks are mostly performed separately. As a result, the augmented texts may not be optimal to train the downstream model. To address this problem, we propose a three-level optimization framework to perform text augmentation and the downstream task end-to- end. The augmentation model is trained in a way tailored to the downstream task. Our framework consists of three learning stages. A text summarization model is trained to perform data augmentation at the first stage. Each summarization example is associated with a weight to account for its domain difference with the text classification data. At the second stage, we use the model trained at the first stage to perform text augmentation and train a text classification model on the augmented texts. At the third stage, we evaluate the text classification model trained at the second stage and update weights of summarization examples by minimizing the validation loss. These three stages are performed end-to-end. We evaluate our method on several text classification datasets where the results demonstrate the effectiveness of our method. Code is available at https://github.com/Sai-Ashish/End-to-End-Text-Augmentation.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/tacl_a_00464
https://doaj.org/article/0d46f8b8943d44ed9bbe8ffd5dca6002
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| 156 |
Czech Grammar Error Correction with a Large and Diverse Corpus
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In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 452-467 (2022) (2022)
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| 157 |
French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE1
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In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 37 n. 1 (2021) ; 1678-460X ; 0102-4450 (2022)
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| 158 |
Sociolinguistically-aware computational models of Mandarin-English codeswitching
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5247 ; 2473-8689 (2022)
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| 160 |
The corpora they are a-changing: a case study in Italian newspapers
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In: Basile, Pierpaolo orcid:0000-0002-0545-1105 , Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2021) The corpora they are a-changing: a case study in Italian newspapers. In: 2nd International Workshop on Computational Approaches to Historical Language Change 2021, Online. (2021)
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