Merging a Syntactic Resource with a WordNet: a Feasibility Study of a Merge between STO and DanNet
9757Authors
nan
Abstract
AbstractThis paper presents a feasibility study of a merge between SprogTeknologisk Ordbase (STO), which contains morphological and syntactic information, and DanNet, which is a Danish WordNet containing semantic information in terms of synonym sets and semantic relations. The aim of the merge is to develop a richer, composite resource which we believe will have a broader usage perspective than the two seen in isolation. In STO, the organizing principle is based on the observable syntactic features of a lemmas near context (labeled syntactic units or SynUs). In contrast, the basic unit in DanNet is constituted by semantic senses or - in wordnet terminology - synonym sets (synsets). The merge of the two resources is thus basically to be understood as a linking between SynUs and synsets. In the paper we discuss which parts of the merge can be performed semi-automatically and which parts require manual linguistic matching procedures. We estimate that this manual work will amount to approx. 39% of the lexicon material.
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Full Content
nan
Labeled Text
AbstractThis paper presents a feasibility study of a merge between SprogTeknologisk Ordbase (STO), which contains morphological and syntactic information, and DanNet, which is a Danish WordNet containing semantic information in terms of synonym sets and semantic relations. The aim of the merge is to develop a richer, composite resource which we believe will have a broader usage perspective than the two seen in isolation. In STO, the organizing principle is based on the observable syntactic features of a lemmas near context (labeled syntactic units or SynUs). In contrast, the basic unit in DanNet is constituted by semantic senses or - in wordnet terminology - synonym sets (synsets). The merge of the two resources is thus basically to be understood as a linking between SynUs and synsets. In the paper we discuss which parts of the merge can be performed semi-automatically and which parts require manual linguistic matching procedures. We estimate that this manual work will amount to approx. 39% of the lexicon material.
Publication Details
- Paper ID:
- 9757
- Year:
- 2008
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan