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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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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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Abstract:
The availability of parallel sentence simplification (SS) is scarce for neural SS modelings. We propose an unsupervised method to build SS corpora from large-scale bilingual translation corpora, alleviating the need for SS supervised corpora. Our method is motivated by the following two findings: neural machine translation model usually tends to generate more high-frequency tokens and the difference of text complexity levels exists between the source and target language of a translation corpus. By taking the pair of the source sentences of translation corpus and the translations of their references in a bridge language, we can construct large-scale pseudo parallel SS data. Then, we keep these sentence pairs with a higher complexity difference as SS sentence pairs. The building SS corpora with an unsupervised approach can satisfy the expectations that the aligned sentences preserve the same meanings and have difference in text complexity levels. Experimental results show that SS methods trained by our corpora ...
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URL: https://dx.doi.org/10.48448/bsjw-4x44 https://underline.io/lecture/38344-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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