W02-1505 summarizes the processing chain for NP extraction . Our chunker ( called AF ) consists
S14-2041 manually built rules used for NP extraction . Based on the experimental results
W03-1801 the text corpus and not atomic NP extraction . The rationale was to conserve
W06-1612 by simple pattern matching and NP extraction . The overall accuracy of the
C02-1153 put on the table ? 11 2nd obj . NP extraction Where did he put the book on
P10-1140 not be noun phrases and hence NP extraction algorithms miss many occurrences
E95-1018 case of extrac - tion , where a NP extraction site may occur non peripherally
W01-0719 applied to the task of salient NP extraction , evaluating five classifiers
C02-1027 for NPs and APs . The recall of NP extraction , measured against 352 NPs from
C02-1027 algorithm was not an option . The NP extraction algorithm is capable of analysing
D14-1201 Candidates 3.1.1 Parsing and Base NP Extraction ZORE analyzes the syntactic structures
C02-1027 such as clause segmentation and NP extraction ( see Table 3 ) . We also evaluated
W01-1011 modules : text tokenization , NP extraction , and NP filtering . Since the
S14-2041 the combination method by using NP extraction and NER . From Table 2 and Table
W00-0722 some other tasks ( such as the NP extraction , or the phrase chunking ( Abney
W06-1652 PREP Constituent -LSB- 2 -RSB- = NP EXTRACTION Dependency = Syntactic ( 0 ,
D14-1201 tagging , syntactic parsing , base NP extraction , light verb structure ( LVC
W01-1011 applied to the task of salient NP extraction : decision tree , rule induction
P03-1055 precision of detecting long-distance NP extraction ( WH -- NP ) is also high , but
P11-1082 employed ( Rahman and Ng , on NP extraction and coreference evaluation .
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