Results 31 to 40 of about 1,911,756 (319)
CLaSPS: a new methodology for Knowledge extraction from complex astronomical dataset [PDF]
, 2012 In this paper we present the Clustering-Labels-Score Patterns Spotter (CLaSPS), a new methodology for the determination of correlations among astronomical observables in complex datasets, based on the application of distinct unsupervised clustering ...
Aihara +33 more
core +2 more sources
Open Knowledge Extraction Challenge
, 2015 The Open Knowledge Extraction (OKE) challenge is aimed at promoting research in the automatic extraction of structured content from textual data and its representation and publication as Linked Data. We designed two extraction tasks: (1) Entity Recognition, Linking and Typing and (2) Class Induction and entity typing.
Nuzzolese, Andrea Giovanni +5 more
openaire +6 more sources
Fault knowledge graph construction for coal mine fully mechanized mining equipment
Gong-kuang zidonghua, 2023 The existing fault diagnosis methods for coal mine fully mechanized mining equipment lack systematic management and application of historical fault data of fully mechanized mining equipment.
CAI Anjiang, ZHANG Yan, REN Zhigang
doaj +1 more source
Lifelong Learning CRF for Supervised Aspect Extraction
, 2017 This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this ...
Liu, Bing, Shu, Lei, Xu, Hu
core +1 more source
Metropolitan UniversitiesExtractive knowledge is prevalent in higher education community engagement and is a type of epistemic injustice that is harmful to the marginalized communities and community nonprofits that many universities, particularly predominately white institutions, seek to engage.
Nancy McHugh +2 more
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IEEE AccessWhile handwritten notes offer valuable insights into students’ knowledge retention, traditional analysis methods are often time-consuming and limited in scope.
Yunyu Zhou, Cheng Tang, Atsushi Shimada
doaj +1 more source
FrameNet CNL: a Knowledge Representation and Information Extraction Language
, 2014 The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which ...
Barzdins, Guntis
core +1 more source
Time-Aware Probabilistic Knowledge Graphs [PDF]
, 2019 The emergence of open information extraction as a tool for constructing and expanding knowledge graphs has aided the growth of temporal data, for instance, YAGO, NELL and Wikidata.
Chekol, Melisachew Wudage +1 more
core +2 more sources
Towards Unsupervised Knowledge Extraction
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2020 CEUR-WS.org/Vol ...
Tsatsou, Dorothea +5 more
openaire +2 more sources
Zhongguo dianliWith the rapid development of artificial intelligence technology, knowledge retrieval systems in the power industry are facing technological updates and iterations. A knowledge retrieval and analysis system for the power industry based on knowledge graph
Jinying ZHANG +5 more
doaj +1 more source