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1
Specializing unsupervised pretraining models for word-level semantic similarity
Lauscher, Anne [Verfasser]; Vulic, Ivan [Verfasser]; Ponti, Edoardo Maria [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2021
DNB Subject Category Language
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2
Towards Zero-shot Language Modeling ...
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3
Differentiable Generative Phonology ...
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4
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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5
Modelling Latent Translations for Cross-Lingual Transfer ...
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6
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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7
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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8
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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9
Parameter space factorization for zero-shot learning across tasks and languages ...
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10
Visually Grounded Reasoning across Languages and Cultures ...
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11
Visually Grounded Reasoning across Languages and Cultures ...
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12
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
Abstract: Capturing word meaning in context and distinguishing between correspondences and variations across languages is key to building successful multilingual and cross-lingual text representation models. However, existing multilingual evaluation datasets that evaluate lexical semantics "in-context" have various limitations. In particular, 1) their language coverage is restricted to high-resource languages and skewed in favor of only a few language families and areas, 2) a design that makes the task solvable via superficial cues, which results in artificially inflated (and sometimes super-human) performances of pretrained encoders, on many target languages, which limits their usefulness for model probing and diagnostics, and 3) little support for cross-lingual evaluation. In order to address these gaps, we present AM2iCo (Adversarial and Multilingual Meaning in Context), a wide-coverage cross-lingual and multilingual evaluation set; it aims to faithfully assess the ability of state-of-the-art (SotA) representation ... : EMNLP 2021 long paper ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2104.08639
https://dx.doi.org/10.48550/arxiv.2104.08639
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13
Parameter space factorization for zero-shot learning across tasks and languages
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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14
Visually Grounded Reasoning across Languages and Cultures ...
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15
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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16
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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17
Verb Knowledge Injection for Multilingual Event Processing ...
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18
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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19
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2021
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