The choice of verb features is crucial for the learning of verb classes. This paper presents clustering experiments on 168 German verbs, which explore the relevance of features on three levels of verb description, purely syntactic frame types, prepositional phrase information and selectional preferences. In contrast to previous approaches concentrating on the sparse data problem, we present evidence for a linguistically defined limit on the usefulness of features which is driven by the idiosyncratic properties of the verbs and the specific attributes of the desired verb classification.
This study addressed two controversial issues regarding the acquisition of verb placement in German ...
In theory, linguists' lives are becoming easier due to the increasing availability of digital texts ...
A central question concerning word recognition is whether linguistic categories are processed in con...
We cluster verbs into lexical semantic classes, using a general set of noisy features that cap-ture ...
We present a comparison of different selec-tional preference models and evaluate them on an automati...
We develop a general feature space that can be used for the semantic classification of English verbs...
In this paper, we present the first analysis of bottom-up manual semantic clustering of verbs in thr...
This paper shows how experimental methods can advance syntactic description and syntactic theory. Th...
Across the world's languages, children reliably learn nouns more easily than verbs. Attempts to unde...
This paper aims only to make a few brief remarks about what seem to me to be the more salient aspect...
International audienceClassifications which group together verbs and a set of shared syntactic and s...
We describe and evaluate the application of a spectral clustering technique (Ng et al., 2002) to the...
The paper presents a large-scale computational subcategorisation lexicon for several thousand German...
The authors investigate how morphological relationships between inflected word forms are represented...
This article looks into the nature of cognitive associations between verbs and argument structure co...
This study addressed two controversial issues regarding the acquisition of verb placement in German ...
In theory, linguists' lives are becoming easier due to the increasing availability of digital texts ...
A central question concerning word recognition is whether linguistic categories are processed in con...
We cluster verbs into lexical semantic classes, using a general set of noisy features that cap-ture ...
We present a comparison of different selec-tional preference models and evaluate them on an automati...
We develop a general feature space that can be used for the semantic classification of English verbs...
In this paper, we present the first analysis of bottom-up manual semantic clustering of verbs in thr...
This paper shows how experimental methods can advance syntactic description and syntactic theory. Th...
Across the world's languages, children reliably learn nouns more easily than verbs. Attempts to unde...
This paper aims only to make a few brief remarks about what seem to me to be the more salient aspect...
International audienceClassifications which group together verbs and a set of shared syntactic and s...
We describe and evaluate the application of a spectral clustering technique (Ng et al., 2002) to the...
The paper presents a large-scale computational subcategorisation lexicon for several thousand German...
The authors investigate how morphological relationships between inflected word forms are represented...
This article looks into the nature of cognitive associations between verbs and argument structure co...
This study addressed two controversial issues regarding the acquisition of verb placement in German ...
In theory, linguists' lives are becoming easier due to the increasing availability of digital texts ...
A central question concerning word recognition is whether linguistic categories are processed in con...