| W04-0825 | two steps . The first step uses | semantic classification trees | on a short context size . A decision |
| W04-0825 | stages : the first stage uses three | Semantic Classification Trees | in parallel , trained on different |
| W04-0825 | system is a combined approach using | semantic classification trees | and information retrieval techniques |
| J00-3003 | al. ( 1996 ) propose the use of | semantic classification trees | , a kind of decision tree conditioned |
| W04-0825 | Classification Trees for WSD The | Semantic Classification Trees | ( SCT ) were first introduced |
| W04-0825 | replaced by a generic PRP tag . 2.2 | Semantic Classification Trees | for WSD The Semantic Classification |
| W04-0825 | Then , a brief description of | Semantic Classification Trees | is given ( Section 2.2 ) along |
| C96-2125 | learning dialog act assignment with | semantic classification trees | and 69 % for learning with pentagrams |
| S01-1016 | different views of the context . | Semantic Classification Trees | ( SCT ) are employed over a short |
| S01-1016 | context , we have chosen to use | Semantic Classification Trees | ( SCT ) ( Kuhn and De Mori , |
| N06-1036 | 1997a ; Stolcke et al. , 1998 ) , | semantic classification trees | and polygrams ( Mast et al. , |
