Results 11 to 20 of about 1,518,254 (312)
Weight Annotation in Information Extraction [PDF]
Logical Methods in Computer Science, 2022 The framework of document spanners abstracts the task of information extraction from text as a function that maps every document (a string) into a relation over the document's spans (intervals identified by their start and end indices). For instance, the regular spanners are the closure under the Relational Algebra (RA) of the regular expressions with ...
Johannes Doleschal +3 more
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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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Adaptive information extraction [PDF]
ACM Computing Surveys, 2006 The growing availability of online textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extraction (IE) research. Some examples of these applications are the generation of data bases from documents, as well as the acquisition of knowledge useful for emerging ...
Jordi Turmo, Alicia Ageno, Neus Català
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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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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
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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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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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Progress in information extraction [PDF]
Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -, 1996 This paper provides a quick summary of the following topics: enhancements to the PLUM information extraction engine, what we learned from MUC-6 (the Sixth Message Understanding Conference), the results of an experiment on merging templates from two different information extraction engines, a learning technique for named entity recognition, and towards ...
Ralph M. Weischedel +6 more
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