| W08-2135 | unlikely argument candidates in a | dependency-based parsing | tree . Given a dependency parsing |
| P97-1003 | recently been interest in using | dependency-based parsing | models in speech recog - nition |
| E97-1003 | recently been interest in using | dependency-based parsing | models in speech recog - nition |
| W08-2135 | experiment , it also works on | dependency-based parsing | . 3 Bilayer Maximum Entropy Markov |
| W98-0509 | decision criteria . Interestingly , | dependency-based parsing | can be viewed as a generalized |
| J13-1003 | research efforts on data-driven | dependency-based parsing | ( K ¨ ubler , McDonald , |
| W13-4917 | nonetheless . We start by reviewing | dependency-based parsing | results , both on the trees and |
| J08-3003 | Hajiˇc et al. 2001 ) . Recently , | dependency-based parsing | has been applied to 13 different |
| J08-3003 | In this article , we focus on | dependency-based parsing | of Turkish , a language that |
| P92-1041 | errors . First , it is shown how | dependency-based parsing | can be afforded , by taking into |
| P99-1076 | see how this could be adapted to | dependency-based parsing | . <title> TextTiling VecTile |
| W05-0908 | F-score measure that is adapted from | dependency-based parsing | ( Crouch et al. , 2002 ) and |
| W05-0908 | adapts evaluation techniques from | dependency-based parsing | ( Crouch et al. , 2002 ) and |
| A97-1011 | restriction is present in many | dependency-based parsing | systems ( McCord , 1990 ; Sleator |
| P06-2066 | without compromising efficiency . In | dependency-based parsing | , several constraints have been |
