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An Information-Theoretic Characterization of Morphological Fusion ...
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A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
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Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Visually Grounded Reasoning across Languages and Cultures ...
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I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Review ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study ...
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Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.818/ Abstract: The design of widespread vision-and-language datasets and pre-trained encoders directly adopts, or draws inspiration from, the concepts and images of ImageNet. While one can hardly overestimate how much this benchmark contributed to progress in computer vision, it is mostly derived from lexical databases and image queries in English, resulting in source material with a North American or Western European bias. Therefore, we devise a new protocol to construct an ImageNet-style hierarchy representative of more languages and cultures. In particular, we let the selection of both concepts and images be entirely driven by native speakers, rather than scraping them automatically. Specifically, we focus on a typologically diverse set of languages, namely, Indonesian, Mandarin Chinese, Swahili, Tamil, and Turkish. On top of the concepts and images obtained through this new protocol, we create a multilingual dataset for {M}ulticultur{a}l ...
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Keyword:
Data Management System; Machine Learning; Machine translation; Natural Language Processing
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URL: https://underline.io/lecture/37516-visually-grounded-reasoning-across-languages-and-cultures https://dx.doi.org/10.48448/645v-7718
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Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification ...
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On the Relation between Syntactic Divergence and Zero-Shot Performance ...
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