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COGSR
2011
105views more  COGSR 2011»
14 years 11 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
FSMNLP
2005
Springer
15 years 9 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
Alexis Nasr, Owen Rambow
CICLING
2004
Springer
15 years 9 months ago
Automatic Syntactic Analysis for Detection of Word Combinations
The paper presents a method for automatic detection of “non-trivial” word combinations in the text. It is based on automatic syntactic analysis. The method shows better precisi...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...
127
Voted
INLG
2004
Springer
15 years 9 months ago
Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions
This discussion paper describes a sequence of experiments with human subjects aimed at finding out how an nlg system should choose between the different forms of a gradable adjec...
Kees van Deemter
140
Voted
INLG
2004
Springer
15 years 9 months ago
Overgenerating Referring Expressions Involving Relations and Booleans
Abstract. We present a new approach to the generation of referring expressions containing attributive, type and relational properties combined by conjunctions, disjunctions and neg...
Sebastian Varges