@inproceedings{leseva-etal-2014-automatic,
title = "Automatic Semantic Filtering of Morphosemantic Relations in {W}ord{N}et",
author = "Leseva, Svetlozara and
Stoyanova, Ivelina and
Rizov, Borislav and
Todorova, Maria and
Tarpomanova, Ekaterina",
booktitle = "Proceedings of the First International Conference on Computational Linguistics in Bulgaria (CLIB 2014)",
month = sep,
year = "2014",
address = "Sofia, Bulgaria",
publisher = "Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences",
url = "https://aclanthology.org/2014.clib-1.3",
pages = "14--22",
abstract = "In this paper we present a method for automatic assignment of morphosemantic relations between derivationally related verb{--}noun pairs of synsets in the Bulgarian WordNet (BulNet) and for semantic filtering of those relations. The filtering process relies on the meaning of noun suffixes and the semantic compatibility of verb and noun taxonomic classes. We use the taxonomic labels assigned to all the synsets in the Princeton WordNet (PWN) {--} one label per synset {--} which denote their general semantic class. In the first iteration we employ the pairs {\textless}noun suffix : noun label{\textgreater} to filter out part of the relations. In the second iteration, which uses as input the output of the first one, we apply a stronger semantic filter. It makes use of the taxonomic labels of the noun-verb synset pairs observed for a given morphosemantic relation. In this way we manage to reliably filter out impossible or unlikely combinations. The results of the performed experiment may be applied to enrich BulNet with morphosemantic relations and new synsets semi-automatically, while facilitating the manual work and reducing its cost.",
}
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%0 Conference Proceedings
%T Automatic Semantic Filtering of Morphosemantic Relations in WordNet
%A Leseva, Svetlozara
%A Stoyanova, Ivelina
%A Rizov, Borislav
%A Todorova, Maria
%A Tarpomanova, Ekaterina
%S Proceedings of the First International Conference on Computational Linguistics in Bulgaria (CLIB 2014)
%D 2014
%8 September
%I Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
%C Sofia, Bulgaria
%F leseva-etal-2014-automatic
%X In this paper we present a method for automatic assignment of morphosemantic relations between derivationally related verb–noun pairs of synsets in the Bulgarian WordNet (BulNet) and for semantic filtering of those relations. The filtering process relies on the meaning of noun suffixes and the semantic compatibility of verb and noun taxonomic classes. We use the taxonomic labels assigned to all the synsets in the Princeton WordNet (PWN) – one label per synset – which denote their general semantic class. In the first iteration we employ the pairs \textlessnoun suffix : noun label\textgreater to filter out part of the relations. In the second iteration, which uses as input the output of the first one, we apply a stronger semantic filter. It makes use of the taxonomic labels of the noun-verb synset pairs observed for a given morphosemantic relation. In this way we manage to reliably filter out impossible or unlikely combinations. The results of the performed experiment may be applied to enrich BulNet with morphosemantic relations and new synsets semi-automatically, while facilitating the manual work and reducing its cost.
%U https://aclanthology.org/2014.clib-1.3
%P 14-22
Markdown (Informal)
[Automatic Semantic Filtering of Morphosemantic Relations in WordNet](https://aclanthology.org/2014.clib-1.3) (Leseva et al., CLIB 2014)
ACL
- Svetlozara Leseva, Ivelina Stoyanova, Borislav Rizov, Maria Todorova, and Ekaterina Tarpomanova. 2014. Automatic Semantic Filtering of Morphosemantic Relations in WordNet. In Proceedings of the First International Conference on Computational Linguistics in Bulgaria (CLIB 2014), pages 14–22, Sofia, Bulgaria. Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences.