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ECAI
1998
Springer
15 years 1 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans
INLG
2010
Springer
14 years 7 months ago
Extracting Parallel Fragments from Comparable Corpora for Data-to-text Generation
Building NLG systems, in particular statistical ones, requires parallel data (paired inputs and outputs) which do not generally occur naturally. In this paper, we investigate the ...
Anja Belz, Eric Kow
ANLP
2000
97views more  ANLP 2000»
14 years 10 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
ANLP
1992
81views more  ANLP 1992»
14 years 10 months ago
Portable Natural Language Generation using SPOKESMAN
1 This paper reports on the SPOKESMAN natural language generation system, which is a domain independent text generator designed to incrementally produce text for an underlying appl...
Marie Meteer