| lr,8-1-P06-2059,bq | This paper proposes a novel method of building <term> polarity-tagged corpus </term> from <term> HTML documents </term> . | #11400 This paper proposes a novel method of buildingpolarity-tagged corpus from HTML documents. |
| other,11-1-P06-2059,bq | This paper proposes a novel method of building <term> polarity-tagged corpus </term> from <term> HTML documents </term> . | #11403 This paper proposes a novel method of building polarity-tagged corpus fromHTML documents. |
| other,17-2-P06-2059,bq | The characteristics of this method is that it is fully automatic and can be applied to arbitrary <term> HTML documents </term> . | #11423 The characteristics of this method is that it is fully automatic and can be applied to arbitraryHTML documents. |
| other,9-3-P06-2059,bq | The idea behind our method is to utilize certain <term> layout structures </term> and <term> linguistic pattern </term> . | #11435 The idea behind our method is to utilize certainlayout structures and linguistic pattern. |
| other,12-3-P06-2059,bq | The idea behind our method is to utilize certain <term> layout structures </term> and <term> linguistic pattern </term> . | #11438 The idea behind our method is to utilize certain layout structures andlinguistic pattern. |
| other,9-4-P06-2059,bq | By using them , we can automatically extract such <term> sentences </term> that express opinion . | #11450 By using them, we can automatically extract suchsentences that express opinion. |
| lr,9-5-P06-2059,bq | In our experiment , the method could construct a <term> corpus </term> consisting of 126,610 <term> sentences </term> . | #11464 In our experiment, the method could construct acorpus consisting of 126,610 sentences. |
| other,13-5-P06-2059,bq | In our experiment , the method could construct a <term> corpus </term> consisting of 126,610 <term> sentences </term> . | #11468 In our experiment, the method could construct a corpus consisting of 126,610sentences. |
