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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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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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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 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
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URL: https://dx.doi.org/10.48550/arxiv.1906.04684 https://arxiv.org/abs/1906.04684
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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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