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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 57 1 Learning Disentangled Representations of Negation and Uncertainty ... Vasilakes, Jake; Zerva, Chrysoula; Miwa, Makoto. - : arXiv, 2022 BASE Show details 2 Natural language processing applied to mental illness detection: a narrative review Zhang, Tianlin; Schoene, Annika M.; Ji, Shaoxiong... In: NPJ Digit Med (2022) BASE Show details 3 Investigating Text Simplification Evaluation ... Vásquez-Rodríguez, Laura; Shardlow, Matthew; Przybyła, Piotr. - : arXiv, 2021 BASE Show details 4 Investigating Text Simplification Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ananiadou, Sophia; Przybyła, Piotr. - : Underline Science Inc., 2021 BASE Show details 5 Towards BERT-based Automatic ICD Coding: Limitations and Opportunities Pascual, Damian; Wattenhofer, Roger; Luck, Sandro In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021) BASE Show details 6 BioVAE: a pre-trained latent variable language model for biomedical text mining Trieu, Hai-Long; Miwa, Makoto; Ananiadou, Sophia In: Bioinformatics (2021) BASE Show details 7 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 8 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 9 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 10 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ... Li, Maolin; Myrman, Arvid Fahlström; Mu, Tingting. - : arXiv, 2019 BASE Show details 11 Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ... Sahu, Sunil Kumar; Christopoulou, Fenia; Miwa, Makoto. - : arXiv, 2019 BASE Show details 12 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2019 BASE Show details 13 Improving reference prioritisation with PICO recognition Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019 BASE Show details 14 Improving clinical named entity recognition in Chinese using the graphical and phonetic feature Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019 BASE Show details 15 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 16 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 17 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2018 BASE Show details 18 Constructing a biodiversity terminological inventory Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios; Batista-Navarro, Riza; Ananiadou, Sophia. - : Public Library of Science, 2017 Abstract: The increasing growth of literature in biodiversity presents challenges to users who need to discover pertinent information in an efficient and timely manner. In response, text mining techniques offer solutions by facilitating the automated discovery of knowledge from large textual data. An important step in text mining is the recognition of concepts via their linguistic realisation, i.e., terms. However, a given concept may be referred to in text using various synonyms or term variants, making search systems likely to overlook documents mentioning less known variants, which are albeit relevant to a query term. Domain-specific terminological resources, which include term variants, synonyms and related terms, are thus important in supporting semantic search over large textual archives. This article describes the use of text mining methods for the automatic construction of a large-scale biodiversity term inventory. The inventory consists of names of species, amongst which naming variations are prevalent. We apply a number of distributional semantic techniques on all of the titles in the Biodiversity Heritage Library, to compute semantic similarity between species names and support the automated construction of the resource. With the construction of our biodiversity term inventory, we demonstrate that distributional semantic models are able to identify semantically similar names that are not yet recorded in existing taxonomies. Such methods can thus be used to update existing taxonomies semi-automatically by deriving semantically related taxonomic names from a text corpus and allowing expert curators to validate them. We also evaluate our inventory as a means to improve search by facilitating automatic query expansion. Specifically, we developed a visual search interface that suggests semantically related species names, which are available in our inventory but not always in other repositories, to incorporate into the search query. An assessment of the interface by domain experts reveals that our query expansion based on related names is useful for increasing the number of relevant documents retrieved. Its exploitation can benefit both users and developers of search engines and text mining applications. Keyword: Research Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393592/ http://www.ncbi.nlm.nih.gov/pubmed/28414821 https://doi.org/10.1371/journal.pone.0175277 BASE Hide details 19 Distributed Document and Phrase Co-embeddings for Descriptive Clustering Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017 BASE Show details 20 Enriching news events with meta-knowledge information [<Journal>] Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige]. DNB Subject Category Language Show details Page: 1 2 3

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