One of the main purposes in current computational lexicography is to determine methods to allow the acquisition of lexical knowledge. One of the facilities of the Acquilex Lexical Knowledge Base is the possibility of defining lexical rules. These rules are used for generating new lexical entries from the existing ones, capturing linguistic generalizations which will be reflected in the new entries. In this paper we focus on one kind of lexical rules which allows the generation of noun entries from verbs. We present the nominalization problem in Spanish and how to represent it in the LKB. The nouns created refer to the agent, patient, and action of the origin verb
A semantic representation of adjectives in the LKB, taking into account the semantic relationships w...
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative ...
Lexicon-Grammar (LG) is a theoretical-methodological model that poses a systematic description of li...
One of the main purposes in current computational lexicography is to determine methods to allow the ...
One of the main purposes in current computational lexicography is to determine methods to allow the ...
Most studies on nominalization focus on nouns derived from action verbs and pay little attention to ...
This paper describes a new lexical resource: Ancora-Nom, a Spanish lexicon of deverbal nominalizatio...
Nominalisation refers to the process of forming a noun from some other word-class. Nominalsations de...
This paper presents the ADN-Classifier, an Automatic classification system of Spanish Deverbal Nomin...
This paper examines the structural and semantics properties of non-eventive nominalizations in Spani...
This article provides an overview of the main facts and theories regarding nominal modifiers, with a...
[EN] The aim of this paper is to present the format of the lexical level within the framework of Fun...
In this article, we focus on nominalizations, which are an important lexical resource used in writte...
New York University has produced a dictionary of nominalizations (NOMLEX) whose entries capture the ...
During the latest years one of the main topics of our research has been the study of a special kind ...
A semantic representation of adjectives in the LKB, taking into account the semantic relationships w...
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative ...
Lexicon-Grammar (LG) is a theoretical-methodological model that poses a systematic description of li...
One of the main purposes in current computational lexicography is to determine methods to allow the ...
One of the main purposes in current computational lexicography is to determine methods to allow the ...
Most studies on nominalization focus on nouns derived from action verbs and pay little attention to ...
This paper describes a new lexical resource: Ancora-Nom, a Spanish lexicon of deverbal nominalizatio...
Nominalisation refers to the process of forming a noun from some other word-class. Nominalsations de...
This paper presents the ADN-Classifier, an Automatic classification system of Spanish Deverbal Nomin...
This paper examines the structural and semantics properties of non-eventive nominalizations in Spani...
This article provides an overview of the main facts and theories regarding nominal modifiers, with a...
[EN] The aim of this paper is to present the format of the lexical level within the framework of Fun...
In this article, we focus on nominalizations, which are an important lexical resource used in writte...
New York University has produced a dictionary of nominalizations (NOMLEX) whose entries capture the ...
During the latest years one of the main topics of our research has been the study of a special kind ...
A semantic representation of adjectives in the LKB, taking into account the semantic relationships w...
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative ...
Lexicon-Grammar (LG) is a theoretical-methodological model that poses a systematic description of li...