Concordance

Query C04-1068 13 >
Shuffle 13 (606.1 per million)

other,6-3-C04-1068,bq	</term> . In this paper , we identify <term>	features	</term> of <term> electronic discussions </term>	#5431 In this paper, we identifyfeatures of electronic discussions that influence the clustering process, and offer a filtering mechanism that removes undesirable influences.
other,23-4-C04-1068,bq	of two experiments : coarse-level <term>	clustering	</term> and simple <term> information retrieval	#5474 We tested the clustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-levelclustering and simple information retrieval.
other,26-4-C04-1068,bq	coarse-level <term> clustering </term> and simple <term>	information retrieval	</term> . Our evaluation shows that our <term>	#5477 We tested the clustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simpleinformation retrieval.
tech,5-5-C04-1068,bq	</term> . Our evaluation shows that our <term>	filtering mechanism	</term> has a significant positive effect	#5485 Our evaluation shows that ourfiltering mechanism has a significant positive effect on both tasks.
other,19-1-C04-1068,bq	which aims to cluster and summarise <term>	electronic discussions	</term> in the context of <term> help-desk	#5398 The work presented in this paper is the first step in a project which aims to cluster and summariseelectronic discussions in the context of help-desk applications.
other,8-3-C04-1068,bq	we identify <term> features </term> of <term>	electronic discussions	</term> that influence the <term> clustering	#5433 In this paper, we identify features ofelectronic discussions that influence the clustering process, and offer a filtering mechanism that removes undesirable influences.
other,10-2-C04-1068,bq	objective of this project is to use these <term>	summaries	</term> to assist <term> help-desk users and	#5417 The eventual objective of this project is to use thesesummaries to assist help-desk users and operators.
other,25-1-C04-1068,bq	discussions </term> in the context of <term>	help-desk applications	</term> . The eventual objective of this	#5404 The work presented in this paper is the first step in a project which aims to cluster and summarise electronic discussions in the context ofhelp-desk applications.
tech,13-3-C04-1068,bq	discussions </term> that influence the <term>	clustering process	</term> , and offer a <term> filtering mechanism	#5438 In this paper, we identify features of electronic discussions that influence theclustering process, and offer a filtering mechanism that removes undesirable influences.
other,8-4-C04-1068,bq	clustering and filtering processes </term> on <term>	electronic newsgroup discussions	</term> , and evaluated their performance	#5459 We tested the clustering and filtering processes onelectronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simple information retrieval.
other,13-2-C04-1068,bq	these <term> summaries </term> to assist <term>	help-desk users and operators	</term> . In this paper , we identify <term>	#5420 The eventual objective of this project is to use these summaries to assisthelp-desk users and operators.
tech,19-3-C04-1068,bq	clustering process </term> , and offer a <term>	filtering mechanism	</term> that removes undesirable influences	#5444 In this paper, we identify features of electronic discussions that influence the clustering process, and offer afiltering mechanism that removes undesirable influences.
tech,3-4-C04-1068,bq	undesirable influences . We tested the <term>	clustering and filtering processes	</term> on <term> electronic newsgroup discussions	#5454 We tested theclustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simple information retrieval.


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