| other,8-1-P05-1076,ak | This paper describes a novel system for acquiring <term> adjectival subcategorization frames ( SCFs ) </term> and associated <term> frequency information </term> from <term> English corpus data </term> . | #10275 This paper describes a novel system for acquiringadjectival subcategorization frames ( SCFs ) and associated frequency information from English corpus data. | |
| other,16-1-P05-1076,ak | This paper describes a novel system for acquiring <term> adjectival subcategorization frames ( SCFs ) </term> and associated <term> frequency information </term> from <term> English corpus data </term> . | #10283 This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associatedfrequency information from English corpus data. | |
| other,19-1-P05-1076,ak | This paper describes a novel system for acquiring <term> adjectival subcategorization frames ( SCFs ) </term> and associated <term> frequency information </term> from <term> English corpus data </term> . | #10286 This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associated frequency information fromEnglish corpus data. | |
| tech,4-2-P05-1076,ak | The system incorporates a <term> decision-tree classifier </term> for 30 <term> SCF types </term> which tests for the presence of <term> grammatical relations ( GRs ) </term> in the output of a <term> robust statistical parser </term> . | #10294 The system incorporates adecision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser. | |
| other,8-2-P05-1076,ak | The system incorporates a <term> decision-tree classifier </term> for 30 <term> SCF types </term> which tests for the presence of <term> grammatical relations ( GRs ) </term> in the output of a <term> robust statistical parser </term> . | #10298 The system incorporates a decision-tree classifier for 30SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser. | |
| other,16-2-P05-1076,ak | The system incorporates a <term> decision-tree classifier </term> for 30 <term> SCF types </term> which tests for the presence of <term> grammatical relations ( GRs ) </term> in the output of a <term> robust statistical parser </term> . | #10306 The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence ofgrammatical relations ( GRs ) in the output of a robust statistical parser. | |
| tech,26-2-P05-1076,ak | The system incorporates a <term> decision-tree classifier </term> for 30 <term> SCF types </term> which tests for the presence of <term> grammatical relations ( GRs ) </term> in the output of a <term> robust statistical parser </term> . | #10316 The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of arobust statistical parser. | |
| tech,4-3-P05-1076,ak | It uses a powerful <term> pattern-matching language </term> to classify <term> GRs </term> into <term> frames </term> hierarchically in a way that mirrors <term> inheritance-based lexica </term> . | #10324 It uses a powerfulpattern-matching language to classify GRs into frames hierarchically in a way that mirrors inheritance-based lexica. | |
| other,8-3-P05-1076,ak | It uses a powerful <term> pattern-matching language </term> to classify <term> GRs </term> into <term> frames </term> hierarchically in a way that mirrors <term> inheritance-based lexica </term> . | #10328 It uses a powerful pattern-matching language to classifyGRs into frames hierarchically in a way that mirrors inheritance-based lexica. | |
| other,10-3-P05-1076,ak | It uses a powerful <term> pattern-matching language </term> to classify <term> GRs </term> into <term> frames </term> hierarchically in a way that mirrors <term> inheritance-based lexica </term> . | #10330 It uses a powerful pattern-matching language to classify GRs intoframes hierarchically in a way that mirrors inheritance-based lexica. | |
| other,17-3-P05-1076,ak | It uses a powerful <term> pattern-matching language </term> to classify <term> GRs </term> into <term> frames </term> hierarchically in a way that mirrors <term> inheritance-based lexica </term> . | #10337 It uses a powerful pattern-matching language to classify GRs into frames hierarchically in a way that mirrorsinheritance-based lexica. | |
| other,10-4-P05-1076,ak | The experiments show that the system is able to detect <term> SCF types </term> with 70 % <term> precision </term> and 66 % <term> recall rate </term> . | #10350 The experiments show that the system is able to detectSCF types with 70% precision and 66% recall rate. | |
| measure(ment),15-4-P05-1076,ak | The experiments show that the system is able to detect <term> SCF types </term> with 70 % <term> precision </term> and 66 % <term> recall rate </term> . | #10355 The experiments show that the system is able to detect SCF types with 70%precision and 66% recall rate. | |
| measure(ment),19-4-P05-1076,ak | The experiments show that the system is able to detect <term> SCF types </term> with 70 % <term> precision </term> and 66 % <term> recall rate </term> . | #10359 The experiments show that the system is able to detect SCF types with 70% precision and 66%recall rate. | |
| tech,4-5-P05-1076,ak | A new tool for <term> linguistic annotation </term> of <term> SCFs </term> in <term> corpus data </term> is also introduced which can considerably alleviate the process of obtaining <term> training and test data </term> for <term> subcategorization acquisition </term> . | #10366 A new tool forlinguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition. | |
| other,7-5-P05-1076,ak | A new tool for <term> linguistic annotation </term> of <term> SCFs </term> in <term> corpus data </term> is also introduced which can considerably alleviate the process of obtaining <term> training and test data </term> for <term> subcategorization acquisition </term> . | #10369 A new tool for linguistic annotation ofSCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition. | |
| other,9-5-P05-1076,ak | A new tool for <term> linguistic annotation </term> of <term> SCFs </term> in <term> corpus data </term> is also introduced which can considerably alleviate the process of obtaining <term> training and test data </term> for <term> subcategorization acquisition </term> . | #10371 A new tool for linguistic annotation of SCFs incorpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition. | |
| other,22-5-P05-1076,ak | A new tool for <term> linguistic annotation </term> of <term> SCFs </term> in <term> corpus data </term> is also introduced which can considerably alleviate the process of obtaining <term> training and test data </term> for <term> subcategorization acquisition </term> . | #10384 A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtainingtraining and test data for subcategorization acquisition. | |
| other,27-5-P05-1076,ak | A new tool for <term> linguistic annotation </term> of <term> SCFs </term> in <term> corpus data </term> is also introduced which can considerably alleviate the process of obtaining <term> training and test data </term> for <term> subcategorization acquisition </term> . | #10389 A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data forsubcategorization acquisition. |
