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Learning Disentangled Representations of Negation and Uncertainty ...
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Natural language processing applied to mental illness detection: a narrative review
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In: NPJ Digit Med (2022)
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Investigating Text Simplification Evaluation ...
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Abstract:
Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora contain inaccurate simplifications and incorrect alignments. Additionally, evaluation is usually performed by using metrics such as BLEU or SARI to compare system output to the gold standard. A major limitation is that these metrics do not match human judgements and the performance on different datasets and linguistic phenomena vary greatly. Furthermore, our research shows that the test and training subsets of parallel datasets differ significantly. In this work, we investigate existing TS corpora, providing new insights that will motivate the improvement of existing state-of-the-art TS evaluation methods. Our contributions include the analysis of TS corpora based on existing modifications used for simplification and an empirical study on TS models performance by using better-distributed datasets. We demonstrate that by improving ... : 7 pages, 3 figures, 1 table ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2107.13662 https://dx.doi.org/10.48550/arxiv.2107.13662
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5 |
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
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In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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BioVAE: a pre-trained latent variable language model for biomedical text mining
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In: Bioinformatics (2021)
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
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Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
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Identification of research hypotheses and new knowledge from scientific literature ...
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Identification of research hypotheses and new knowledge from scientific literature ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Distributed Document and Phrase Co-embeddings for Descriptive Clustering
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