| tech,16-3-H01-1001,ak | information piece would be found in a <term> | large database | </term> . Traditional <term> information retrieval | #52 The question is, however, how an interesting information piece would be found in alarge database. | |
| model,6-4-H01-1001,ak | information retrieval techniques </term> use a <term> | histogram | </term> of <term> keywords </term> as the <term> | #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. | |
| model,19-4-H01-1001,ak | communication </term> may offer additional <term> | indices | </term> such as the time and place of the | #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 | and the attendance . An alternative <term> | index | </term> could be the activity such as discussing | #90 An alternativeindex could be the activity such as discussing, planning, informing, story-telling, etc. | |
| other,14-4-H01-1001,ak | <term> document representation </term> but <term> | oral communication | </term> may offer additional <term> indices | #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 | Similar to activities one can define <term> | subsets | </term> of larger <term> database </term> and | #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,0-1-H01-1001,ak | <term> | Oral communication | </term> is ubiquitous and carries important | #0 Oral communication is ubiquitous and carries important information yet it is also time consuming to document. | |
| tech,21-7-H01-1001,ak | define <term> subsets </term> of larger <term> | database | </term> and detect those automatically which | #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. | |
| other,8-4-H01-1001,ak | </term> use a <term> histogram </term> of <term> | keywords | </term> as the <term> document representation | #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. | |
| model,3-8-H01-1001,ak | database of TV shows . Emotions and other <term> | indices | </term> such as the dominance distribution | #166 Emotions and otherindices such as the dominance distribution of speakers might be available on the surface and could be used directly. | |
| other,11-4-H01-1001,ak | </term> of <term> keywords </term> as the <term> | document representation | </term> but <term> oral communication </term> | #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. | |
| tech,6-9-H01-1001,ak | directly . Despite the small size of the <term> | databases | </term> used some results about the effectiveness | #192 Despite the small size of thedatabases used some results about the effectiveness of these indices can be obtained. | |
| model,15-9-H01-1001,ak | results about the effectiveness of these <term> | indices | </term> can be obtained . To support engaging | #201 Despite the small size of the databases used some results about the effectiveness of theseindices can be obtained. | |
| tech,1-4-H01-1001,ak | large database </term> . Traditional <term> | information retrieval techniques | </term> use a <term> histogram </term> of <term> | #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. |
