Name
Abstract | ||
|---|---|---|
We investigate the effectiveness of semantic generalizations/classifications for capturing the regularities of the behavior of verbs in terms of their metaphoricity. Starting from orthographic word unigrams, we experiment with various ways of defining semantic classes for verbs (grammatical, resource-based, distributional) and measure the effectiveness of these classes for classifying all verbs in a running text as metaphor or non metaphor. |
Year | Venue | DocType |
|---|---|---|
2016 | PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2 | Conference |
Volume | Citations | PageRank |
P16-2 | 1 | 0.41 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beata Beigman Klebanov | 1 | 137 | 19.49 |
| Chee Wee Leong | 2 | 153 | 15.10 |
| E. Gutiérrez | 3 | 20 | 3.88 |
| Ekaterina Shutova | 4 | 228 | 21.51 |
| Michael Flor | 5 | 34 | 8.18 |