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1
Personalized Transformer for Explainable Recommendation ...
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2
Learning Shared Semantic Space for Speech-to-Text Translation ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.195 Abstract: Having numerous potential applications and great impact, end-to-end speech translation (ST) has long been treated as an independent task, failing to fully draw strength from the rapid advances of its sibling - text machine translation (MT). With text and audio inputs represented differently, the modality gap has rendered MT data and its end-to-end models incompatible with their ST counterparts. In observation of this obstacle, we propose to bridge this representation gap with Chimera. By projecting audio and text features to a common semantic representation, Chimera unifies MT and ST tasks and boosts the performance on ST benchmarks, MuST-C and Augmented Librispeech, to a new stateof-the-art. Specifically, Chimera obtains 27.1 BLEU on MuST-C ENDE, improving the SOTA by a +1.9 BLEU margin. Further experimental analyses demonstrate that shared semantic space indeed conveys common knowledge between these two tasks and thus paves a new ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/f8cw-bq75
https://underline.io/lecture/26286-learning-shared-semantic-space-for-speech-to-text-translation
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3
Glancing Transformer for Non-Autoregressive Neural Machine Translation ...
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4
Probabilistic Graph Reasoning for Natural Proof Generation ...
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5
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ...
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6
Language Tags Matter for Zero-Shot Neural Machine Translation ...
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7
Learning Language Specific Sub-network for Multilingual Machine Translation ...
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8
Contrastive Aligned Joint Learning for Multilingual Summarization ...
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9
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ...
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