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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 On Homophony and Rényi Entropy ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Meister, Clara. - : Underline Science Inc., 2021 BASE Show details 2 An Information-Theoretic Characterization of Morphological Fusion ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Futrell, Richard; Hahn, Michael. - : Underline Science Inc., 2021 BASE Show details 3 Learning Data Augmentation Schedules for Natural Language Processing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Irena; Chopard, Daphné; Treder, Matthias. - : Underline Science Inc., 2021 Abstract: Despite its proven efficiency in other fields,data augmentation is less popular in the context of natural language processing (NLP) due to its complexity and limited results. A recent study (Longpre et al., 2020) showed for example that task-agnostic data augmentations fail to consistently boost the performance of pre-trained transformers even in low data regimes. In this paper, we investigate whether data-driven augmentation scheduling and the integration of a wider set of transformations canlead to improved performance where fixed and limited policies were unsuccessful. Our results suggest that, while this approach can help train better models in some settings, the improvements are unsubstantial. This negative result is meant to help researchers better understand the limitations of data augmentation for NLP. ... Keyword: Computational Linguistics; Data Management System; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/wzh8-br45 https://underline.io/lecture/39459-learning-data-augmentation-schedules-for-natural-language-processing BASE Hide details 4 A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; De Raedt, Maarten. - : Underline Science Inc., 2021 BASE Show details 5 Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Min, Bonan. - : Underline Science Inc., 2021 BASE Show details 6 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Chaudhary, Aditi. - : Underline Science Inc., 2021 BASE Show details 7 I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Review ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; O' Neill, James. - : Underline Science Inc., 2021 BASE Show details 8 MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Androutsopoulos, Ion; Chalkidis, Ilias. - : Underline Science Inc., 2021 BASE Show details 9 IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Banerjee, Somnath; Blloshmi, Rexhina. - : Underline Science Inc., 2021 BASE Show details 10 Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhen, Ranran. - : Underline Science Inc., 2021 BASE Show details 11 Mitigating Language-Dependent Ethnic Bias in BERT ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ahn, Jaimeen; Oh, Alice. - : Underline Science Inc., 2021 BASE Show details 12 Genre as Weak Supervision for Cross-lingual Dependency Parsing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Müller-Eberstein, Max; Plank, Barbara. - : Underline Science Inc., 2021 BASE Show details 13 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jacopo; Keraron, Rachel. - : Underline Science Inc., 2021 BASE Show details 14 Visually Grounded Reasoning across Languages and Cultures ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Nigel; Bugliarello, Emanuele. - : Underline Science Inc., 2021 BASE Show details 15 Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Mithun, Mitch; Suntwal, Sandeep. - : Underline Science Inc., 2021 BASE Show details 16 On the Relation between Syntactic Divergence and Zero-Shot Performance ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arviv, Ofir; Nikolaev, Dmitry. - : Underline Science Inc., 2021 BASE Show details

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