Paper Info
Title
Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds
Abstract
In this paper we discuss an approach to the semi-automatic classification of the compounds extracted from German corpora. Compound nominals are semi-automatically extracted from text corpora along with their sentential complements and classified. Our classification is based on the relationships between the subcategorisation of nominal compounds, e. g. Grundfrage, Wettstreit and Beweismittel and that of their constituent parts, Frage, Streit, Beweis, etc. We show that there are cases which do not match the commonly accepted assumption that the head of a compound is its valency bearer. Such cases should receive a specific treatment in NLP dictionary building.
Year
Venue
Field
2008
SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008
Valency,Computer science,Text corpus,Speech recognition,Natural language processing,Artificial intelligence,German
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Ekaterina Lapshinova-Koltunski1137.67
Ulrich Heid219040.48