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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification ...
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Enhance Language Identification using Dual-mode Model with Knowledge Distillation ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Abstract:
Large web-crawled corpora represent an excellent resource for improving the performance of Neural Machine Translation (NMT) systems across several language pairs. However, since these corpora are typically extremely noisy, their use is fairly limited. Current approaches to deal with this problem mainly focus on filtering using heuristics or single features such as language model scores or bi-lingual similarity. This work presents an alternative approach which learns weights for multiple sentence-level features. These feature weights which are optimized directly for the task of improving translation performance, are used to score and filter sentences in the noisy corpora more effectively. We provide results of applying this technique to building NMT systems using the Paracrawl corpus for Estonian-English and show that it beats strong single feature baselines and hand designed combinations. Additionally, we analyze the sensitivity of this method to different types of noise and explore if the learned weights ...
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URL: https://underline.io/lecture/39478-learning-feature-weights-using-reward-modeling-for-denoising-parallel-corpora
https://dx.doi.org/10.48448/xmmn-vb09
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Learning Policies for Multilingual Training of Neural Machine Translation Systems ...
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| 7 |
Sign language can reduce communication interference in Emergency Department
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In: Am J Emerg Med (2021)
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An exploratory study of undergraduate healthcare student perspectives regarding human papillomavirus and vaccine intent in India
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In: Womens Health (Lond) (2021)
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Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020)
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Spatiotemporal dynamics of postoperative functional plasticity in patients with brain tumors in language areas
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In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-03489627 ; Brain and Language, Elsevier, 2020, 202, pp.104741 -. ⟨10.1016/j.bandl.2019.104741⟩ (2020)
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| 11 |
CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings
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In: CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments ; https://hal.inria.fr/hal-02546993 ; CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain (2020)
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Functional competence and cognition in individuals with amnestic mild cognitive impairment
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Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
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In: http://infoscience.epfl.ch/record/275278 (2020)
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Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics
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In: Indian J Orthop (2020)
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Functional Language Network Connectivity in Children of Women with Epilepsy with Selective Antenatal Antiepileptic Drug Exposure
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Effect of Mandibular Advancement Surgery on Tongue Length and Height and Its Correlation with Upper Airway Dimensions
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In: J Maxillofac Oral Surg (2020)
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Longitudinal progression of grey matter atrophy in non-amnestic Alzheimer’s disease
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In: Brain (2019)
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| 19 |
Implementing Dialectical Behaviour Therapy: An Exploratory Study of Fidelity and the Fidelity-adaptation Relationship
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Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-01833739 ; Eur.Phys.J.C, 2018, 78 (6), pp.509. ⟨10.1140/epjc/s10052-018-5950-6⟩ (2018)
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