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1
Learning Disentangled Representations of Negation and Uncertainty ...
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2
Natural language processing applied to mental illness detection: a narrative review
In: NPJ Digit Med (2022)
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3
Investigating Text Simplification Evaluation ...
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4
Investigating Text Simplification Evaluation ...
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5
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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6
BioVAE: a pre-trained latent variable language model for biomedical text mining
In: Bioinformatics (2021)
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7
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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8
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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9
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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10
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
Abstract: When constructing models that learn from noisy labels produced by multiple annotators, it is important to accurately estimate the reliability of annotators. Annotators may provide labels of inconsistent quality due to their varying expertise and reliability in a domain. Previous studies have mostly focused on estimating each annotator's overall reliability on the entire annotation task. However, in practice, the reliability of an annotator may depend on each specific instance. Only a limited number of studies have investigated modelling per-instance reliability and these only considered binary labels. In this paper, we propose an unsupervised model which can handle both binary and multi-class labels. It can automatically estimate the per-instance reliability of each annotator and the correct label for each instance. We specify our model as a probabilistic model which incorporates neural networks to model the dependency between latent variables and instances. For evaluation, the proposed method is applied to ... : 9 pages, 1 figures, 10 tables, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL2019) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.1905.04981
https://arxiv.org/abs/1905.04981
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11
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
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12
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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13
Improving reference prioritisation with PICO recognition
Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019
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14
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019
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15
Identification of research hypotheses and new knowledge from scientific literature ...
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16
Identification of research hypotheses and new knowledge from scientific literature ...
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17
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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18
Constructing a biodiversity terminological inventory
Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017
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19
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017
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20
Enriching news events with meta-knowledge information [<Journal>]
Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige].
DNB Subject Category Language
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