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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 ...
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11
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
Abstract: Inter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies. Existing methods do not fully exploit such dependencies. We present a novel inter-sentence relation extraction model that builds a labelled edge graph convolutional neural network model on a document-level graph. The graph is constructed using various inter- and intra-sentence dependencies to capture local and non-local dependency information. In order to predict the relation of an entity pair, we utilise multi-instance learning with bi-affine pairwise scoring. Experimental results show that our model achieves comparable performance to the state-of-the-art neural models on two biochemistry datasets. Our analysis shows that all the types in the graph are effective for inter-sentence relation extraction. ... : Accepted in Association for Computational Linguistics (ACL) 2019 8 pages, 3 figures, 3 tables ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://dx.doi.org/10.48550/arxiv.1906.04684
https://arxiv.org/abs/1906.04684
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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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