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Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations ...
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Analysis of Language Change in Collaborative Instruction Following ...
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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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Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ...
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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph ...
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Live Session - 4E: Phonology, Morphology and Word Segmentation ...
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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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