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» On Languages with Very High Information Content
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CW
2005
IEEE
14 years 1 months ago
Applying Transformation-Based Error-Driven Learning to Structured Natural Language Queries
XML information retrieval (XML-IR) systems aim to provide users with highly exhaustive and highly specific results. To interact with XML-IR systems, users must express both their ...
Alan Woodley, Shlomo Geva
DAGSTUHL
2006
13 years 9 months ago
Information Access to Historical Documents from the Early New High German Period
With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the presen...
Andreas Hauser, Markus Heller, Elisabeth Leiss, Kl...
WWW
2005
ACM
14 years 8 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
CIVR
2008
Springer
220views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Web-based information content and its application to concept-based video retrieval
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
Alexander Haubold, Apostol Natsev
ITNG
2006
IEEE
14 years 1 months ago
Adding High Level VoIP Facilities to the Unicon Language
Many programming languages have built-in functions for socket programming and data communications. These days, the Internet is widely used for voice communications that employ a V...
Ziad Al-Sharif, Clinton Jeffery