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» MindNet: Acquiring and Structuring Semantic Information from...
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KCAP
2005
ACM
13 years 10 months ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
NAACL
1994
13 years 6 months ago
(Almost) Automatic Semantic Feature Extraction from Technical Text
Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-speclfic in nature and must be acquized from t...
Rajeev Agarwal
SEMWEB
2009
Springer
13 years 11 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
LWA
2008
13 years 6 months ago
Rule-Based Information Extraction for Structured Data Acquisition using TextMarker
Information extraction is concerned with the location of specific items in (unstructured) textual documents, e.g., being applied for the acquisition of structured data. Then, the ...
Martin Atzmüller, Peter Klügl, Frank Pup...
KCAP
2011
ACM
12 years 8 months ago
Eliciting hierarchical structures from enumerative structures for ontology learning
Some discourse structures such as enumerative structures have typographical, punctuational and laying out characteristics which (1) make them easily identifiable and (2) convey hi...
Mouna Kamel, Bernard Rothenburger