Results 11 to 20 of about 3,126,299 (284)
Evaluating Information Extraction [PDF]
, 2010 The issue of how to experimentally evaluate information extraction (IE) systems has received hardly any satisfactory solution in the literature. In this paper we propose a novel evaluation model for IE and argue that, among others, it allows (i) a correct appreciation of the degree of overlap between predicted and true segments, and (ii) a fair ...
Esuli A, Sebastiani F
openaire +3 more sources
Claim Consistency Checking Using Soft Logic
Machine Learning and Knowledge Extraction, 2020 Increasing concerns about the prevalence of false information and fake news has led to calls for automated fact-checking systems that are capable of verifying the truthfulness of statements, especially on the internet.
Nouf Bindris +2 more
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Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
BMC Bioinformatics, 2018 Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta +4 more
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Applied Sciences, 2020 The usefulness of automated information extraction tools in generating structured knowledge from unstructured and semi-structured machine-readable documents is limited by challenges related to the variety and intricacy of the targeted entities, the ...
Dimitris Papadopoulos +2 more
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Automated citation graph building from a corpora of scientific documents [PDF]
Компьютерные исследования и моделирование, 2012 In this paper the problem of automated building of a citation graph from a collection of scientific documents is considered as a sequence of machine learning tasks.
Valentin Alexandrovich Polezhaev
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Information Extraction, Data Integration, and Uncertain Data Management: The State of The Art [PDF]
, 2011 Information Extraction, data Integration, and uncertain data management are different areas of research that got vast focus in the last two decades. Many researches tackled those areas of research individually.
Habib, Mena B., Keulen, Maurice van
core +8 more sources
A Network Method for Identifying the Root Cause of High-Speed Rail Faults Based on Text Data
Energies, 2019 Root cause identification is an important task in providing prompt assistance for diagnosis, security monitoring and guidance for specific routine maintenance measures in the field of railway transportation.
Liu Yang +4 more
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Automatic extraction of opera character characteristics through lexical-syntactic patterns
Umanistica Digitale, 2021 The paper presents the experimentation of rules based on syntactic patterns for the extraction of interpersonal relationships between characters from the opera repertoire of the 18th century.
Paolo Bonora, Angelo Pompilio
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Frontiers in Digital Health, 2022 This paper describes the identification of body function (BF) mentions within the clinical text within a large, national, heterogeneous corpus to highlight structural challenges presented by the clinical text.
Guy Divita +4 more
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Extracting Proceedings Data from Court Cases with Machine Learning
Stats, 2022 France is rolling out an open data program for all court cases, but with few metadata attached. Reusers will have to use named-entity recognition (NER) within the text body of the case to extract any value from it.
Bruno Mathis
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