| P07-1068 | improves the accuracy of common | noun resolution | by 2-6 % . 1 Introduction In |
| P02-1014 | to poor performance on common | noun resolution | . A manually selected subset |
| D14-1056 | step towards end-to-end shell | noun resolution | . In particular , this method |
| D14-1056 | exposition , the problem of shell | noun resolution | is identifying the appropriate |
| M98-1022 | high precision . CogNIAC Proper | Noun Resolution | CogNIAC is the most general purpose |
| P02-1014 | pronoun and especially common | noun resolution | remain important challenges for |
| P02-1014 | to improve precision on common | noun resolution | . Overall , the learning framework |
| M98-1022 | 25 precision . CogNIAC Common | Noun Resolution | Common noun coreference is an |
| P11-1117 | more commonly known Hidden Markov | noun resolution | system based on Factorial Hidden |
| N06-1025 | plays a role in pronoun and common | noun resolution | , where surface features can |
| E06-2015 | plays a role in pronoun and common | noun resolution | , where surface features can |
| P07-1068 | labeling the SC of an NP . common | noun resolution | by about 5-8 % . In ACE , we |
| E14-4045 | nuances . Somewhat ex - pectedly , | noun resolution | is worse when the immediate antecedent |
| D09-1103 | improve the performance of common | noun resolution | by 3.8 and 2.7 in F-measure on |
| P02-1014 | 's poor performance on common | noun resolution | and to data fragmentation problems |
| P02-1014 | low-precision rules for common | noun resolution | , is shown to reliably improve |
| P11-1117 | resolution with a left-to-right se - | noun resolution | system . quential beam search |
| M98-1022 | simplest solution was to add a proper | noun resolution | component to CogNIAC . In the |
| P02-1014 | by the classifiers for common | noun resolution | is its high-precision string |
| P02-1014 | low-precision rules for common | noun resolution | and re-train the coreference |
