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Table 3: Distribution of Information

in Where does Information come from? Corpus Analysis for Automatic Abstracting
by Horacio Saggion, Guy Lapalme
"... In PAGE 4: ... No information is given about the distribution of the sentences in structural parts in the parent document. In Table3 , we present the distribution of the sentences in the parent documents whichwere aligned with the professional abstracts in our corpus. We consider all the structured documents of our corpus #2897 documents#29.... ..."

Table 2 Distribution of information.

in Generating Indicative-Informative Summaries with SumUM
by Horacio Saggion, Guy Lapalme 2002
"... In PAGE 5: ... No information is given about the distribution of the sentences in structural parts in the source document. In Table2 , we present the distribution of the sentences in the source documents which were aligned with the professional abstracts in our corpus. We consider all the structured documents of our corpus (97 documents).... In PAGE 6: ...Volume , Number of these entries on the rst column of Table2 ). Sharp (1989) reports on experiments carried out with abstractors where it is shown that introductions and conclusions pro- vide a basis for producing a coherent and informative abstract.... ..."
Cited by 14

Table 2 Distribution of information.

in Generating Indicative-Informative Summaries with SumUM
by Horacio Saggion, Guy Lapalme 2002
"... In PAGE 5: ...tion is given about the distribution of the sentences in structural parts in the source document. In Table2 , we present the distribution of the sentences in the source documents that were aligned with the professional abstracts in our corpus. We consider all the structured documents of our corpus (97 documents).... In PAGE 6: ... The last column gives the average of the information over all abstracts. In this corpus, we found that 72% of the information for the abstracts comes from the following structural parts of the source documents: the title of the document, the first section, the last section, and the section headers and captions of tables and figures (sum of these entries on the first column of Table2 ). Sharp (1989) reports on experiments carried out with abstractors in which it is shown that introductions and conclusions provide a basis for producing a coherent and informative abstract.... ..."
Cited by 14

Table 2: Class Distribution Information of Attribute Outlook

in Parallel Formulations of Inductive Classification Learning Algorithm
by Eui-Hong (Sam) Han, Anurag Srivastava, Vipin Kumar 1996
"... In PAGE 4: ... For a discrete attribute, class distribution information of each value of the attribute is required. Table2 shows the class distribution information of data attribute Outlook. For a continuous attribute, binary test involving all the distinct values of the attribute is considered.... ..."
Cited by 3

Table 2. Class Distribution Information of Attribute Outlook

in Parallel Formulations of Decision-Tree Classification Algorithms
by Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh
"... In PAGE 4: ... For a discrete attribute, class distribution information of each value of the attribute is required. Table2 shows the class distribution information of data attribute Outlook at the root of the decision tree shown in Figure 1. For a continuous attribute, binary tests involving all the distinct values of the attribute are considered.... ..."

Table 2: Class Distribution Information of Attribute Outlook

in Parallel Formulations of Inductive Classification Learning Algorithm
by Vineet Singh, Eui-Hong (Sam) Han, Anurag Srivastava, Vipin Kumar
"... In PAGE 4: ... For a discrete attribute, class distribution information of each value of the attribute is required. Table2 shows the class distribution information of data attribute Outlook. For a continuous attribute, binary test involving all the distinct values of the attribute is considered.... ..."

Table 2. Class Distribution Information of Attribute Outlook

in Parallel Formulations of Decision-Tree Classification Algorithms
by unknown authors
"... In PAGE 4: ... For a discrete attribute, class distribution information of each value of the attribute is required. Table2 shows the class distribution information of data attribute Outlook at the root of the decision tree shown in Figure 1. For a continuous attribute, binary tests involving all the distinct values of the attribute are considered.... ..."

Table 1: Frequency distribution for information units

in A Computational Model of Incremental Utterance Production in Task-Oriented Dialogues
by Kohji Dohsaka, Akira Shimazu 1996
Cited by 1

Table 3: Distribution of Information Access Type and Routing Results Access Type

in unknown title
by unknown authors
"... In PAGE 6: ... Alto- gether, we collected 1,512 information needs. The middle row in Table3 shows the distribution of questions of each information access type. The factoid and passage classes cover more than 30% of the questions.... In PAGE 6: ... 6.3 Results The two rows on the right in Table3 show the re- sults of the information access routing. We used re- call and precision to measure the accuracy.... ..."

Table 3 Distribution of information for a simple, coherent layout.

in Towards Constructive Text, Diagram, and Layout Generation for Information Presentation
by John Bateman, Jörg Kleinz, Gmd-ipsi Darmstadt, Thomas Kamps, Klaus Reichenberger 2001
Cited by 19
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