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» Locating Complex Named Entities in Web Text
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WEBDB
2010
Springer
152views Database» more  WEBDB 2010»
14 years 18 days ago
Popularity-Guided Top-k Extraction of Entity Attributes
Recent progress in information extraction technology has enabled a vast array of applications that rely on structured data that is embedded in natural-language text. In particular...
Matthew Solomon, Cong Yu, Luis Gravano
CHI
1995
ACM
13 years 11 months ago
Oh what a tangled web we weave: metaphor and mapping in graphical interfaces
The relations among graphical representations, computer functionality, and everyday objects are more complex than terms like “the desktop metaphor” may suggest. While metaphor...
William W. Gaver
URBAN
2011
185views more  URBAN 2011»
13 years 2 months ago
Supporting geographically-aware web document foraging and sensemaking
This paper reports on the development and application of strategies and tools for geographic information seeking and knowledge building that leverages unstructured text resources ...
Brian M. Tomaszewski, Justine Blanford, Kevin Ross...
LREC
2010
177views Education» more  LREC 2010»
13 years 9 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
AND
2010
13 years 5 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...