| tech,1-4-A97-1015,ak | <term> syntactic structure </term> . The <term> | parsing results | </term> show that the best <term> accuracy </term> | #28214 Theparsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the same class (fiction or nonfiction). | |
| other,20-2-A97-1015,ak | paper , we report 1 ) Comparison of <term> | structure distributions | </term> across <term> domains </term> ; 2 ) Examples | #28174 In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison ofstructure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars. | |
| other,12-3-A97-1015,ak | </term> and <term> idiosyncrasy </term> of <term> | syntactic structure | </term> . The <term> parsing results </term> | #28210 The observations using the Brown corpus demonstrate domain dependence and idiosyncrasy ofsyntactic structure. | |
| other,31-1-A97-1015,ak | </term> , in particular , the notion of <term> | text ' domain ' | </term> . In order to examine the <term> domain | #28149 A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of the corpus, in particular, the notion oftext ' domain '. | |
| lr,13-5-A97-1015,ak | parsing accuracy </term> and the size of <term> | training corpus | </term> . <term> GLOSSER </term> is designed | #28254 We will also discuss the relationship between parsing accuracy and the size oftraining corpus. |
