| W07-1208 | proposes a design strategy for | deep language processing | grammars to appropriately handle |
| E12-2013 | Unfortunately , most current models of | deep language processing | incorporate assumptions from |
| W07-1208 | variants of a given language by a | deep language processing | grammar for that language . In |
| W03-0906 | analysis ) . The current state of | deep language processing | technology suggests that ECD |
| W01-1018 | representation and output ) NLP Robust , | deep language processing | ( e.g. LFG parsing which is fast |
| W08-2205 | promise for further improving | deep language processing | , and we hope will result in |
| W15-3500 | datasets and by recent advances in | deep language processing | . <title> Round-trips with meaning |
| E12-1084 | this field fit into models of | deep language processing | . 7 Conclusions More than 130 |
| E12-1084 | experiments involve models of | deep language processing | ( as opposed to stochastic models |
| W15-3500 | semantic engineering approaches . | Deep language processing | has its stepping-stone in linguistically |
| W08-2205 | addition to WordNet in support of | deep language processing | . One of the surprising side |
