Results 41 to 50 of about 3,082,391 (312)

Ontology-based Information Extraction with SOBA [PDF]

open access: yes, 2011
In this paper we describe SOBA, a sub-component of the SmartWeb multi-modal dialog system. SOBA is a component for ontologybased information extraction from soccer web pages for automatic population of a knowledge base that can be used for domainspecific
Buitelaar, Paul   +3 more
core  

Streamlining Tax and Administrative Document Management with AI-Powered Intelligent Document Management System

open access: yesInformation
Organisations heavily dependent on paper documents still spend a significant amount of time managing a large volume of documents. An intelligent document management system (DMS) is presented to automate the processing of tax and administrative documents.
Giovanna Di Marzo Serugendo   +8 more
doaj   +1 more source

Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

open access: yesFrontiers in Research Metrics and Analytics, 2021
Towards the objectives of the UnitedStates Food and Drug Administration (FDA) generic drug science and research program, it is of vital importance in developing product-specific guidances (PSGs) with recommendations that can facilitate and guide generic ...
Yiwen Shi   +5 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga   +56 more
wiley   +1 more source

Twitter Based Information Extraction [PDF]

open access: yes, 2017
In the modern world of social media dominance, the microblogs like Twitter and Facebook are probably the best source of up-to-date information. The amount of information available on these platforms is huge, although most of it is unstructured and ...
AkanshaTanwar, A. (AkanshaTanwar)   +3 more
core  

Extraction of information from a single quantum

open access: yes, 2011
We investigate the possibility of performing quantum tomography on a single qubit with generalized partial measurements and the technique of measurement reversal.
Paraoanu, G. S.
core   +1 more source

Extracting information from multiplex networks [PDF]

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2016
Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well.
Iacovacci, J, Bianconi, G
openaire   +4 more sources

Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas   +16 more
wiley   +1 more source

Answering Complex Questions Using Open Information Extraction

open access: yes, 2017
While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference techniques.
Clark, Peter   +2 more
core   +1 more source

Prominent User Segments in Online Consumer Recommendation Communities: Capturing Behavioral and Linguistic Qualities with User Comment Embeddings

open access: yesInformation
Online conversation communities have become an influential source of consumer recommendations in recent years. We propose a set of meaningful user segments which emerge from user embedding representations, based exclusively on comments’ text input.
Apostolos Skotis, Christos Livas
doaj   +1 more source

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