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Integrating Vectorized Lexical Constraints for Neural Machine Translation ...
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Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction
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In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022)
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Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome
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In: Front Psychol (2022)
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Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ...
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CPM-2: Large-scale Cost-effective Pre-trained Language Models ...
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VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ...
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Assessing Multilingual Fairness in Pre-trained Multimodal Representations ...
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Abstract:
Recently pre-trained multimodal models, such as CLIP, have shown exceptional capabilities towards connecting images and natural language. The textual representations in English can be desirably transferred to multilingualism and support downstream multimodal tasks for different languages. Nevertheless, the principle of multilingual fairness is rarely scrutinized: do multilingual multimodal models treat languages equally? Are their performances biased towards particular languages? To answer these questions, we view language as the fairness recipient and introduce two new fairness notions, multilingual individual fairness and multilingual group fairness, for pre-trained multimodal models. Multilingual individual fairness requires that text snippets expressing similar semantics in different languages connect similarly to images, while multilingual group fairness requires equalized predictive performance across languages. We characterize the extent to which pre-trained multilingual vision-and-language ... : 15 pages, 18 figures ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2106.06683 https://dx.doi.org/10.48550/arxiv.2106.06683
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Dialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset ...
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Transfer Learning for Sequence Generation: from Single-source to Multi-source ...
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Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ...
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Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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Analyzing the Limits of Self-Supervision in Handling Bias in Language ...
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Statistically significant detection of semantic shifts using contextual word embeddings ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ...
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Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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