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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 – 8 of 8 1 Evaluation of Summarization Systems across Gender, Age, and Race ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jørgensen, Anna; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 2 Locke's Holiday: Belief Bias in Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 3 Dynamic Forecasting of Conversation Derailment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kementchedjhieva, Yova; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 4 Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Abdou, Mostafa; Frank, Stella. - : Underline Science Inc., 2021 BASE Show details 5 A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; de Lhoneux, Miryam; Hartmann, Mareike; Hershcovich, Daniel; Kementchedjhieva, Yova; Nielsen, Lukas; Qui, Chen; Søgaard, Anders. - : Underline Science Inc., 2021 Abstract: Negation is one of the most fundamental concepts in human cognition and language, and several natural language inference (NLI) probes have been designed to investigate pretrained language models' ability to detect and reason with negation. However, the existing probing datasets are limited to English only, and do not enable controlled probing of performance in the absence or presence of negation. In response, we present a multilingual (English, Bulgarian, German, French and Chinese) benchmark collection of NLI examples that are grammatical and correctly labeled, as a result of manual inspection and editing. We use the benchmark to probe the negation-awareness of multilingual language models and find that models that correctly predict examples with negation cues often fail to correctly predict their counter-examples without negation cues, even when the cues are irrelevant for semantic inference. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing URL: https://underline.io/lecture/39880-a-multilingual-benchmark-for-probing-negation-awareness-with-minimal-pairs https://dx.doi.org/10.48448/nmxw-4j45 BASE Hide details 6 Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tejaswini; Bassani, Riccardo. - : Underline Science Inc., 2021 BASE Show details 7 The Impact of Positional Encodings on Multilingual Compression ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ravishankar, Vinit; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 8 On Language Models for Creoles ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Miryam; Bugliarello, Emanuele. - : Underline Science Inc., 2021 BASE Show details

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