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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets ...
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AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.571/ 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 ...
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URL: https://underline.io/lecture/37450-am2ico-evaluating-word-meaning-in-context-across-low-resource-languages-with-adversarial-examples https://dx.doi.org/10.48448/gty8-be19
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Improving Machine Translation of Rare and Unseen Word Senses ...
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
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XCOPA: A multilingual dataset for causal commonsense reasoning
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Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation ...
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Second-order contexts from lexical substitutes for few-shot learning of word representations ...
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Second-order contexts from lexical substitutes for few-shot learning of word representations
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Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation
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