| lr,12-4-A97-1015,ak | accuracy </term> is obtained using the <term> | grammar | </term> acquired from the same <term> domain | #28225 The parsing results show that the best accuracy is obtained using thegrammar acquired from the same domain or the same class (fiction or nonfiction). | |
| 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. | |
| lr,23-1-A97-1015,ak | by some <term> feature </term> of the <term> | corpus | </term> , in particular , the notion of <term> | #28141 A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of thecorpus, in particular, the notion of text 'domain'. | |
| lr,40-2-A97-1015,ak | Parsing experiment </term> using some <term> | domain dependent grammars | </term> . The observations using the <term> | #28194 In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using somedomain dependent grammars. | |
| lr-prod,4-3-A97-1015,ak | </term> . The observations using the <term> | Brown corpus | </term> demonstrate <term> domain dependence | #28202 The observations using theBrown corpus demonstrate domain dependence and idiosyncrasy of syntactic structure. | |
| measure(ment),7-4-A97-1015,ak | parsing results </term> show that the best <term> | accuracy | </term> is obtained using the <term> grammar | #28220 The parsing results show that the bestaccuracy is obtained using the grammar acquired from the same domain or the same class (fiction or nonfiction). | |
| measure(ment),7-5-A97-1015,ak | also discuss the relationship between <term> | parsing accuracy | </term> and the size of <term> training corpus | #28248 We will also discuss the relationship betweenparsing accuracy and the size of training corpus. | |
| other,10-3-A97-1015,ak | demonstrate <term> domain dependence </term> and <term> | idiosyncrasy | </term> of <term> syntactic structure </term> | #28208 The observations using the Brown corpus demonstrate domain dependence andidiosyncrasy of syntactic structure. | |
| 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,14-1-A97-1015,ak | the applicability of the acquired <term> | knowledge | </term> may be limited by some <term> feature | #28132 A major concern in corpus based approaches is that the applicability of the acquiredknowledge may be limited by some feature of the corpus, in particular, the notion of text 'domain'. | |
| other,17-4-A97-1015,ak | grammar </term> acquired from the same <term> | domain | </term> or the same <term> class </term> ( <term> | #28230 The parsing results show that the best accuracy is obtained using the grammar acquired from the samedomain or the same class (fiction or nonfiction). | |
| other,20-1-A97-1015,ak | knowledge </term> may be limited by some <term> | feature | </term> of the <term> corpus </term> , in particular | #28138 A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by somefeature of the corpus, in particular, the notion of text 'domain'. | |
| 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,21-4-A97-1015,ak | same <term> domain </term> or the same <term> | class | </term> ( <term> fiction </term> or <term> nonfiction | #28234 The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the sameclass (fiction or nonfiction). | |
| other,23-2-A97-1015,ak | structure distributions </term> across <term> | domains | </term> ; 2 ) Examples of <term> domain specific | #28177 In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions acrossdomains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars. | |
| other,23-4-A97-1015,ak | </term> or the same <term> class </term> ( <term> | fiction | </term> or <term> nonfiction </term> ) . We will | #28236 The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the same class (fiction or nonfiction). | |
| other,25-4-A97-1015,ak | class </term> ( <term> fiction </term> or <term> | nonfiction | </term> ) . We will also discuss the relationship | #28238 The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the same class (fiction ornonfiction). | |
| other,29-2-A97-1015,ak | <term> domains </term> ; 2 ) Examples of <term> | domain specific structures | </term> ; and 3 ) <term> Parsing experiment | #28183 In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples ofdomain specific structures; and 3) Parsing experiment using some domain dependent grammars. | |
| 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 '. | |
| other,5-2-A97-1015,ak | ' </term> . In order to examine the <term> | domain dependence | </term> of <term> parsing </term> , in this paper | #28159 In order to examine thedomain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars. |
