We present some novel machine learning techniques for the identification of
subcategorization information for verbs in Czech. We compare three different statistical …

Today there is a relatively large body of work on automatic acquisition of lexicosyntactical
preferences (subcategorization) from corpora. Various techniques have been developed …

In this paper we investigate the task of automatically identifying the correct argument
structure for a set of verbs. The argument structure of a verb allows us to predict the …

Nous présentons une expérience d'utilisation d'informations de sous-catégorisation par un
analyseur syntaxique pour la résolution d'ambiguïtés de rattachement prépositionnel. Le …

The goal of this dissertation is two-fold: to develop the theory of probabilistic Tree Adjoining
Grammars (TAGs) and to present some practical results in the form of efficient parsing and …

Ambiguity resolution in the parsing of natural language requires a vast repository of
knowledge to guide disambiguation. An effective approach to this problem is to use machine …

Automatic Extraction of Subcategorization Frames from the Bulgarian Tree Bank Page 1
Automatic Extraction of Subcategorization Frames from the Bulgarian Tree Bank Svetoslav …

V práci studujeme možnosti automatizovaného získávání lexikálně-syntaktických údajů z
korpusů, konkrétně se zaměřujeme na extrakci slovesných rámců. Upozornili jsme, že pro …

The presented work investigates methods for semi-automatic extraction of lexico-syntactic
information from corpora, particularly the information on subcategorization and valency …