Concordance

Query C04-1068 13 (606.1 per million)

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


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