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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 Hits 1 – 16 of 16 1 Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study ... Zhao, Liping; Alhoshan, Waad; Ferrari, Alessio. - : arXiv, 2020 BASE Show details 2 Semantics Altering Modifications for Evaluating Comprehension in Machine Reading ... Schlegel, Viktor; Nenadic, Goran; Batista-Navarro, Riza. - : arXiv, 2020 BASE Show details 3 A Framework for Evaluation of Machine Reading Comprehension Gold Standards ... Schlegel, Viktor; Valentino, Marco; Freitas, André. - : arXiv, 2020 BASE Show details 4 Semantic Frame Embeddings for Detecting Relations between Software Requirements ... Waad Alhoshan; Batista-Navarro, Riza; Liping Zhao. - : Zenodo, 2019 BASE Show details 5 Semantic Frame Embeddings for Detecting Relations between Software Requirements ... Waad Alhoshan; Batista-Navarro, Riza; Liping Zhao. - : Zenodo, 2019 BASE Show details 6 Policy preference detection in parliamentary debate motions Abercrombie, Gavin; Ponzetto, Simone Paolo; Batista-Navarro, Riza. - : Association for Computational Linguistics, 2019 BASE Show details 7 Extraction of terms highly associated with named rivers Rojas-García, Juan [Verfasser]; Batista-Navarro, Riza [Verfasser]; Faber, Pamela [Verfasser]. - Jena : Friedrich-Schiller-Universität Jena, 2018 DNB Subject Category Language Show details 8 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 9 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 10 Extraction of terms highly associated with named rivers ... Rojas-García, Juan; Batista-Navarro, Riza; Faber, Pamela. - : Friedrich-Schiller-Universität Jena, 2018 BASE Show details 11 Extraction of terms highly associated with named rivers Rojas-García, Juan; Batista-Navarro, Riza; Faber, Pamela. - 2018 BASE Show details 12 Extending the Environment Ontology with Text-mined Habitat Mentions Batista-Navarro, Riza; Laporte, Marie-Angelique; Regan, Michael. - 2018 BASE Show details 13 Extracting granular information on habitats and reproductive conditions of Dipterocarps through pattern-based literature analysis Batista-Navarro, Riza; Gabud, Roselyn. - 2018 BASE Show details 14 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 15 Overview of the interactive task in BioCreative V Wang, Qinghua; Abdul, Shabbir S.; Almeida, Lara... In: ISSN: 1758-0463 ; EISSN: 1758-0463 ; Database - The journal of Biological Databases and Curation ; https://hal.archives-ouvertes.fr/hal-01469079 ; Database - The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw119⟩ ; https://academic.oup.com/database/article-lookup/doi/10.1093/database/baw119 (2016) BASE Show details 16 The CHEMDNER corpus of chemicals and drugs and its annotation principles Krallinger, Martin; Rabal, Obdulia; Leitner, Florian. - : BioMed Central, 2015 BASE Show details

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