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Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study ...
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Semantics Altering Modifications for Evaluating Comprehension in Machine Reading ...
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A Framework for Evaluation of Machine Reading Comprehension Gold Standards ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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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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Abstract:
Abstract Background Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta-Knowledge (MK), from the context of relations and events, e.g. negation, speculation, certainty and knowledge type. However, most existing methods have focussed on the extraction of individual dimensions of MK, without investigating how they can be combined to obtain even richer contextual information. In this paper, we describe a novel, supervised method to extract new MK dimensions that encode Research Hypotheses (an authorâ s intended knowledge gain) and New Knowledge (an authorâ s findings). The method incorporates various features, including a combination of simple MK dimensions. Methods We identify previously explored dimensions and then use a random forest to combine these with linguistic features into a classification model. To facilitate evaluation of ...
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Keyword:
19999 Mathematical Sciences not elsewhere classified; 69999 Biological Sciences not elsewhere classified; 80699 Information Systems not elsewhere classified; Cancer; FOS Biological sciences; FOS Computer and information sciences; FOS Mathematics; Science Policy
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URL: https://figshare.com/collections/Identification_of_research_hypotheses_and_new_knowledge_from_scientific_literature/4145369/1 https://dx.doi.org/10.6084/m9.figshare.c.4145369.v1
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Extraction of terms highly associated with named rivers ...
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Extending the Environment Ontology with Text-mined Habitat Mentions
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Extracting granular information on habitats and reproductive conditions of Dipterocarps through pattern-based literature analysis
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Overview of the interactive task in BioCreative V
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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)
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The CHEMDNER corpus of chemicals and drugs and its annotation principles
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