Name
Abstract | ||
|---|---|---|
Natural language processing tools are mostly developed for and optimized on newspaper texts, and often show a substantial performance drop when applied to other types of texts such as Twitter feeds, chat data or Internet forum posts. We explore a range of easy-to-implement methods of adapting existing part-of-speech taggers to improve their performance on Internet texts. Our results show that these methods can improve tagger performance substantially. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s13222-014-0172-z | Datenbank-Spektrum |
Keywords | Field | DocType |
Natural language processing, Part-of-speech tagging, Computer-mediated communication | Data mining,World Wide Web,Deep linguistic processing,Computer science,Part-of-speech tagging,Newspaper,Computer-mediated communication,Multimedia,Database,The Internet | Journal |
Volume | Issue | ISSN |
15 | 1 | 1610-1995 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Horbach | 1 | 22 | 7.23 |
| Stefan Thater | 2 | 756 | 38.54 |
| Diana Steffen | 3 | 0 | 0.68 |
| Peter M. Fischer | 4 | 571 | 38.81 |
| Andreas Witt | 5 | 0 | 0.34 |
| Manfred Pinkal | 6 | 1116 | 69.77 |