| model,15-9-H01-1001,ak | Despite the small size of the <term> databases </term> used some results about the effectiveness of these <term> indices </term> can be obtained . | #201 Despite the small size of the databases used some results about the effectiveness of theseindices can be obtained. | |
| model,19-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #74 Traditional information retrieval techniques use a histogram of keywords as the document representation but oral communication may offer additionalindices such as the time and place of the rejoinder and the attendance. | |
| model,2-5-H01-1001,ak | An alternative <term> index </term> could be the activity such as discussing , planning , informing , story-telling , etc . | #90 An alternativeindex could be the activity such as discussing, planning, informing, story-telling, etc. | |
| model,3-8-H01-1001,ak | Emotions and other <term> indices </term> such as the dominance distribution of speakers might be available on the surface and could be used directly . | #166 Emotions and otherindices such as the dominance distribution of speakers might be available on the surface and could be used directly. | |
| model,6-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #61 Traditional information retrieval techniques use ahistogram of keywords as the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| other,0-1-H01-1001,ak | <term> Oral communication </term> is ubiquitous and carries important information yet it is also time consuming to document . | #0 Oral communication is ubiquitous and carries important information yet it is also time consuming to document. | |
| other,11-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #66 Traditional information retrieval techniques use a histogram of keywords as thedocument representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| other,14-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #69 Traditional information retrieval techniques use a histogram of keywords as the document representation butoral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| other,18-7-H01-1001,ak | Several extensions of this basic idea are being discussed and/or evaluated : Similar to activities one can define <term> subsets </term> of larger <term> database </term> and detect those automatically which is shown on a large database of TV shows . | #144 Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can definesubsets of larger database and detect those automatically which is shown on a large database of TV shows. | |
| other,8-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #63 Traditional information retrieval techniques use a histogram ofkeywords as the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| tech,1-4-H01-1001,ak | Traditional <term> information retrieval techniques </term> use a <term> histogram </term> of <term> keywords </term> as the <term> document representation </term> but <term> oral communication </term> may offer additional <term> indices </term> such as the time and place of the rejoinder and the attendance . | #56 Traditionalinformation retrieval techniques use a histogram of keywords as the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| tech,16-3-H01-1001,ak | The question is , however , how an interesting information piece would be found in a <term> large database </term> . | #52 The question is, however, how an interesting information piece would be found in alarge database. | |
| tech,21-7-H01-1001,ak | Several extensions of this basic idea are being discussed and/or evaluated : Similar to activities one can define <term> subsets </term> of larger <term> database </term> and detect those automatically which is shown on a large database of TV shows . | #147 Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can define subsets of largerdatabase and detect those automatically which is shown on a large database of TV shows. | |
| tech,6-9-H01-1001,ak | Despite the small size of the <term> databases </term> used some results about the effectiveness of these <term> indices </term> can be obtained . | #192 Despite the small size of thedatabases used some results about the effectiveness of these indices can be obtained. |
