2013 CollaborativelyBuiltSemiStructu

• (Hovy et al., 2013) ⇒ Eduard Hovy, Roberto Navigli, and Simone Paolo Ponzetto. (2013). “Collaboratively Built Semi-structured Content and Artificial Intelligence: The Story So Far.” In: Artificial Intelligence Journal, 194. doi:10.1016/j.artint.2012.10.002

Subject Headings: Semi-Structured Content.

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Collaboratively+Built+Semi-structured+Content+and+Artificial+Intelligence%3A+The+Story+So+Far
• http://dl.acm.org/citation.cfm?id=2405838.2405907&preflayout=flat#citedby

Quotes

Abstract

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 CollaborativelyBuiltSemiStructu	Simone P. Ponzetto Eduard Hovy Roberto Navigli			Collaboratively Built Semi-structured Content and Artificial Intelligence: The Story So Far				10.1016/j.artint.2012.10.002		2013