| P11-1070 | features are designed to be used in | full-sentence parsing | rather than for limited decisions |
| W01-0706 | is studied as an alternative to | full-sentence parsing | . Rather than producing a complete |
| M93-1009 | , many systems do not attempt | full-sentence parsing | . They group words into phrases |
| M91-1013 | template-filling task . While | full-sentence parsing | may provide a more systematic |
| M93-1009 | and more systems are abandoning | full-sentence parsing | in information extraction appli |
| Q13-1010 | .20 4.3 Results Table 1 reports | full-sentence parsing | results for our parser and three |
| Q13-1010 | Evaluation In addition to standard | full-sentence parsing | results , we propose a novel |
| M93-1009 | using the standar d methods for | full-sentence parsing | , their grammar has very limited |
| P15-1115 | contrast to work on discriminative | full-sentence parsing | ( e.g. , Charniak and Johnson |
| M93-1009 | entire sentence . Systems that do | full-sentence parsing | usually represent their rules |
| P15-1115 | , is considerably harder than | full-sentence parsing | : when processing the n-th word |
| Q13-1010 | and Demberg et al. ( 2014 ) for | full-sentence parsing | , with the Roark ( 2001 ) parser19 |
| X96-1048 | systems . However , we still have | full-sentence parsing | ( e.g. USheffield , UDurham , |
