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EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification ...
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Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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3
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
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Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation ...
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5
Improving Word Translation via Two-Stage Contrastive Learning ...
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On cross-lingual retrieval with multilingual text encoders
Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022
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SimLex-999 Slovenian translation SimLex-999-sl 1.0
Pollak, Senja; Vulić, Ivan; Pelicon, Andraž. - : University of Ljubljana, 2021
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Towards Zero-shot Language Modeling ...
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9
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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10
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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11
Modelling Latent Translations for Cross-Lingual Transfer ...
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12
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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13
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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14
xGQA: Cross-Lingual Visual Question Answering ...
Abstract: Recent advances in multimodal vision and language modeling have predominantly focused on the English language, mostly due to the lack of multilingual multimodal datasets to steer modeling efforts. In this work, we address this gap and provide xGQA, a new multilingual evaluation benchmark for the visual question answering task. We extend the established English GQA dataset to 7 typologically diverse languages, enabling us to detect and explore crucial challenges in cross-lingual visual question answering. We further propose new adapter-based approaches to adapt multimodal transformer-based models to become multilingual, and -- vice versa -- multilingual models to become multimodal. Our proposed methods outperform current state-of-the-art multilingual multimodal models (e.g., M3P) in zero-shot cross-lingual settings, but the accuracy remains low across the board; a performance drop of around 38 accuracy points in target languages showcases the difficulty of zero-shot cross-lingual transfer for this task. Our ... : Findings of ACL 2022 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.06082
https://arxiv.org/abs/2109.06082
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15
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
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16
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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17
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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18
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
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19
Parameter space factorization for zero-shot learning across tasks and languages ...
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20
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu; Liu, Fangyu; Collier, Nigel. - : Apollo - University of Cambridge Repository, 2021
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