Add to ORKGThis paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships. The selectional restrictions are inferred from an adaptation of decision tree induction, and are bound to the syntactic relations that realize them as part of a move toward automated construction of verb predicates. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved
Selectional constraints are limitations on the applicability of predicates to arguments. For example...
International audienceHow useful can be decision trees for the construction, update and use of taxon...
This paper shows how decision trees can help addressing the problem of functional arguments detectio...
This paper describes the implementation of a system that automatically learns selectional restrictio...
We present a methodology to extract Selectional Restrictions at a variable level of abstraction from...
Selectional constraints are limitations on the applicability of predicates to arguments. For example...
Abstract — In this paper, the concept and structure of compu-tational verb decision trees(verb decis...
This paper studies the effects on decision tree learning of constructing four types of attribute (co...
This paper describes an automatic clustering strategy for acquiring selection restrictions. We use ...
The combinatory restriction known in linguistics as \u2018selection restrictions\u2019 are generally...
Abstract. We study predicate selection functions (also known as splitting rules) for structural deci...
The aim of the article is to analyse and thoroughly research the methods of construction of the deci...
Abstract. Decision tree learning represents a well known family of inductive learning algo-rithms th...
In this paper, the determinacy of regular lexical selectional restrictions is examined from both the...
Learning the meanings of words involves learning how those words can be combined into phrases and se...
Selectional constraints are limitations on the applicability of predicates to arguments. For example...
International audienceHow useful can be decision trees for the construction, update and use of taxon...
This paper shows how decision trees can help addressing the problem of functional arguments detectio...
This paper describes the implementation of a system that automatically learns selectional restrictio...
We present a methodology to extract Selectional Restrictions at a variable level of abstraction from...
Selectional constraints are limitations on the applicability of predicates to arguments. For example...
Abstract — In this paper, the concept and structure of compu-tational verb decision trees(verb decis...
This paper studies the effects on decision tree learning of constructing four types of attribute (co...
This paper describes an automatic clustering strategy for acquiring selection restrictions. We use ...
The combinatory restriction known in linguistics as \u2018selection restrictions\u2019 are generally...
Abstract. We study predicate selection functions (also known as splitting rules) for structural deci...
The aim of the article is to analyse and thoroughly research the methods of construction of the deci...
Abstract. Decision tree learning represents a well known family of inductive learning algo-rithms th...
In this paper, the determinacy of regular lexical selectional restrictions is examined from both the...
Learning the meanings of words involves learning how those words can be combined into phrases and se...
Selectional constraints are limitations on the applicability of predicates to arguments. For example...
International audienceHow useful can be decision trees for the construction, update and use of taxon...
This paper shows how decision trees can help addressing the problem of functional arguments detectio...