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NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization
Pablo Gervás
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Raquel Hervás
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Carlos León
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Paper Details:
Month: June
Year: 2008
Location: Salt Fork, Ohio, USA
Venue:
INLG |
WS |
SIG: SIGGEN
Citations
URL
Does Size Matter – How Much Data is Required to Train a REG Algorithm?
Mariët Theune
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Ruud Koolen
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Emiel Krahmer
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Sander Wubben
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Referring Expression Generation through Attribute-Based Heuristics
Robert Dale
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Jette Viethen
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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
Ruud Koolen
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Emiel Krahmer
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Mariët Theune
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No URLs Found
Field Of Study
Task
Language Generation
Language
Spanish
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