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Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Hovy, Eduard
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Navigli, Roberto
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Ponzetto, Simone Paolo
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DOI:
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https://doi.org/10.1016/j.artint.2012.10.002
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URL:
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http://www.sciencedirect.com/science/article/pii/S...
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2013
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Titel einer Zeitschrift oder einer Reihe:
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Artificial Intelligence
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Band/Volume:
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194
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Seitenbereich:
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2-27
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Ort der Veröffentlichung:
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Amsterdam
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Verlag:
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Elsevier
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ISSN:
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0004-3702
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Semantic Web (Juniorprofessur) (Ponzetto 2013-2015)
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Fachgebiet:
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004 Informatik
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Abstract:
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Recent years have seen a great deal of work that exploits collaborative, semi-structured content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special issue of the Artificial Intelligence Journal presents a variety of state-of-the-art contributions, each of which illustrates the substantial impact that work on leveraging semi-structured content is having on AI and NLP as it continuously fosters new directions of cutting-edge research. We contextualize the papers collected in this special issue by providing a detailed overview of previous work on collaborative, semi-structured resources. The survey is made up of two main logical parts: in the first part, we present the main characteristics of collaborative resources that make them attractive for AI and NLP research; in the second part, we present an overview of how these features have been exploited to tackle a variety of long-standing issues in the two fields, in particular the acquisition of large amounts of machine-readable knowledge, and its application to a wide range of tasks. The overall picture shows that not only are semi-structured resources enabling a renaissance of knowledge-rich AI techniques, but also that significant advances in high-end applications that require deep understanding capabilities can be achieved by synergistically exploiting large amounts of machine-readable structured knowledge in combination with sound statistical AI and NLP techniques.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Suche Autoren in
BASE:
Hovy, Eduard
;
Navigli, Roberto
;
Ponzetto, Simone Paolo
Google Scholar:
Hovy, Eduard
;
Navigli, Roberto
;
Ponzetto, Simone Paolo
ORCID:
Hovy, Eduard, Navigli, Roberto and Ponzetto, Simone Paolo  ORCID: https://orcid.org/0000-0001-7484-2049
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