| H05-1067 | successfully applied to the task of | humor-recognition | . Experimental results obtained |
| H05-1067 | classification techniques for | humor-recognition | still improve over this baseline |
| H05-1067 | through experiments where the | humor-recognition | task is formulated as a traditional |
| W06-1625 | Supervised Learning We formulate our | humor-recognition | experiment as a classical supervised |
| H05-1067 | one-liners , which are used in the | humor-recognition | experiments . Note that since |
| H05-1067 | viable solution for the task of | humor-recognition | , and good performance can be |
| H05-1067 | negative examples required by the | humor-recognition | models , we tried to identify |
| H05-1067 | examples . Given that automatic | humor-recognition | is a rather understudied problem |
