Name
Abstract | ||
|---|---|---|
In this paper we give an overview of the approach adopted to add a layer of semantic information to the Greek Dependency Treebank (GDT). Our ultimate goal is to come up with a large corpus, reliably annotated with rich semantic structures. To this end, a corpus has been compiled encompassing various data sources and domains. This collection has been preprocessed, annotated and validated on the basis of dependency representation. Taking into account multi-layered annotation schemes designed to provide deeper representations of structure and meaning, we describe the methodology followed as regards the semantic layer, we report on the annotation process and the problems faced and we conclude with comments on future work and exploitation of the resulting resource. |
Year | Venue | Keywords |
|---|---|---|
2006 | LREC | computational linguistics,language assessment,greek language,semantics,information extraction,data mining,syntax,information retrieval,grammar,speech recognition,human language technology,educational technology,dictionary,speech synthesis,sign language,information,morphology,lemmatizer,machine translation,multimedia,ontologies,natural language processing |
Field | DocType | Citations |
Ontology (information science),Greeklish,Annotation,Computer science,Computational linguistics,Machine translation,Speech recognition,Information extraction,Artificial intelligence,Treebank,Natural language processing,Semantics | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harris Papageorgiou | 1 | 299 | 26.52 |
| Elina Desipri | 2 | 13 | 5.56 |
| Maria Koutsombogera | 3 | 35 | 7.43 |
| Kanella Pouli | 4 | 0 | 0.34 |
| Prokopis | 5 | 114 | 10.95 |