Name
Abstract | ||
|---|---|---|
This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types. We describe the design principles and the properties of the French and German linguistically annotated corpora that we have created. We report on tools used to collect the data and on the quality of the syntactic annotation. The CLASSYN corpora comprise two text collections to investigate general text types difference between scientific and popular science text on the two domains of medical and computer science. |
Year | Venue | Keywords |
|---|---|---|
2012 | LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | audience-based text type,features for text categorization,text extraction |
Field | DocType | Citations |
Design elements and principles,Annotation,Computer science,Text types,Speech recognition,Artificial intelligence,Natural language processing,Linguistics,Syntax,German | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amalia Todirascu | 1 | 26 | 8.52 |
| Sebastian Padó | 2 | 1787 | 146.15 |
| Jennifer Krisch | 3 | 0 | 0.68 |
| Max Kisselew | 4 | 7 | 2.54 |
| Ulrich Heid | 5 | 190 | 40.48 |