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A Multitask Learning Framework for Abuse Detection and Emotion Classification
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In: Algorithms; Volume 15; Issue 4; Pages: 116 (2022)
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| 2 |
into Lightweight Ontologies
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In: http://eprints.biblio.unitn.it/1835/1/025.pdf (2010)
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| 3 |
General Terms
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In: http://eprints.biblio.unitn.it/1507/1/061.pdf (2008)
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| 4 |
Lightweight Ontologies
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In: http://eprints.biblio.unitn.it/archive/00001289/01/071.pdf (2007)
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| 5 |
SEMANTIC COOPERATION AND KNOWLEDGE REUSE BY USING AUTONOMOUS ONTOLOGIES
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In: http://eprints.biblio.unitn.it/1210/1/026.pdf (2007)
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| 6 |
ScienceTreks: an Autonomous Digital Library System
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In: http://eprints.biblio.unitn.it/archive/00001279/01/066.pdf (2007)
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Abstract:
Purpose of this paper- The support for automation of the annotation process of large corpora of digital content. Design/methodology/approach- In this paper we first present and discuss an information extraction pipeline from digital document acquisition to information extraction, processing and management. An overall architecture that support such extraction pipeline is detailed and discussed. Findings- The proposed pipeline is implemented in a working prototype of an Autonomous Digital Library system – the ScienceTreks system – that: (1) support a broad range of methods for documents acquisition; (2) does not rely on any external information sources and is solely based on the existing information in the document itself and in the overall set in a given digital archive; (3) provides API to support easy integration of external systems and tools in the existing “pipeline”. Practical implications- The proposed Autonomous Digital Library system can be used in automating end-to-end information retrieval and processing, supporting the control and elimination of error-prone human intervention in the process. Originality/value- High quality automatic metadata extraction is a crucial step in order to move from linguistic entities to logical entities, relation information and logical relations and therefore to the semantic level of Digital Library usability. This, in turn, creates the opportunity for value-added services within existing and future semantic-enabled Digital Library systems.
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Keyword:
Crawling; Information Retrieval; Metadata Extraction and Processing. Paper Type – Research Paper; Text Processing
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.2695
http://eprints.biblio.unitn.it/archive/00001279/01/066.pdf
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| 7 |
The Tropos Software Development Methodology: Processes, Models And Diagrams
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In: http://dit.unitn.it/~tropos/papers_files/giu1.pdf (2002)
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| 8 |
The tropos software development methodology: Processes
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In: http://www.enel.ucalgary.ca/People/far/Lectures/SENG697/PDF/references/P04.pdf (2001)
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| 9 |
The Tropos Software Development Methodology: Processes, Models And Diagrams
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In: http://sra.itc.it/tr/GMP01.ps.gz (2001)
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| 10 |
Local Models Semantics, or Contextual Reasoning = Locality + Compatibility
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In: ftp://ftp.mrg.dist.unige.it/pub/mrg-ftp/9701-07.ps.gz (1997)
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| 12 |
Regular Polysemy in WordNet and Pattern based Approach
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In: http://www.thinkmind.org/download.php?articleid%3Dintsys_v6_n34_2013_4
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