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Table 1. Ranks of relevant pages found on unrelated server.

in A Similarity-Based Agent for Internet Searching
by Tony Rose, Peter Wyard, Peter J. Wyard (bt Labs
"... In PAGE 6: ... Review returned documents. Results The results are shown in Table1 . The number of pages analysed refers to those that were successfully retrieved using a HTTP quot;get quot; request (as opposed to those that returned a time-out, or NotFound, etc.... ..."

Table 1. Ranks of relevant pages found on unrelated server.

in Abstract A Similarity-Based Agent for Internet Searching
by Tony G. Rose, Peter J. Wyard
"... In PAGE 6: ... Review returned documents. Results The results are shown in Table1 . The number of pages analysed refers to those that were successfully retrieved using a HTTP quot;get quot; request (as opposed to those that returned a time-out, or NotFound, etc.... ..."

Table 2: Summary of similarity scores for document pairs

in unknown title
by unknown authors
"... In PAGE 7: ... However, this assumption makes finding the distribution of similar- ity scores among unrelated documents much easier. Table2 is a summary of the score distributions of related and unrelated document pairs. Note that for unrelated documents, 75% of the scores are less than 0.... ..."

Table 1 Mean lexical decision times (in ms) and percentage of errors (in parentheses) on word and nonword targets in Experiment 1

in Repetition and Form Priming Interact With Neighborhood Density At a Brief Stimulus-Onset Asynchrony
by Manuel Perea, Eva Rosa
"... In PAGE 10: ... (These conventions will be applied throughout the two experiments.) The mean lexical decision time and the error rate on the stimulus words and nonwords in each experimental condition is displayed in Table1 . Since the goal of the study was to test how neighborhood density modulates repetition and form priming effects, separate analysis of latency and error data were conducted for each prime type condition (compared with the unrelated control condition).... In PAGE 10: ... The statistical analysis of the nonwords was identical to that of the words, except that neighborhood density was not included as a factor. Insert Table1 about here Analysis of words Repetition priming effects. The ANOVA on the latency data showed that the effect of ... ..."

Table 1 Mean priming effect (lexical decision time to unrelated minus related probes) by verb type and probe position (in ms)

in on-line processing of unaccusatives 1 The leaf fell (the leaf): The online processing of unaccusatives
by Naama Friedmann, Gina Taranto, Lewis P. Shapiro, David Swinney
"... In PAGE 12: ... Both revealed similar findings and are reported separately below. The overall mean priming effect for each verb type and probe position calculated across all data is presented in Table1 . (These are reported here for the items analysis, collapsing over subjects; the analysis collapsing across items reveals nearly identical results.... ..."

Table 1 Mean priming effect (lexical decision time to unrelated minus related probes) by verb type and probe position (in ms)

in The Vase Fell (the Vase): The Online Processing of Unaccusatives
by Naama Friedmann, Gina Taranto, Lewis P. Shapiro, David Swinney
"... In PAGE 13: ... Both revealed similar findings and are reported separately below. The overall mean priming effect for each verb type and probe position calculated across all data is presented in Table1 . (These are reported here for the items analysis, collapsing over subjects; the analysis collapsing across items reveals nearly identical results.... In PAGE 15: ...(1, 107) = 5.69, p = .02. This supports the pattern of antecedent activation for the three verb types that can be seen in Table1 ; reactivation occurs at the third Probe Position for non-alternating unaccusatives, but not for the other two verb types. 3.... ..."

TABLE III TEXT-LINE DETECTION ERRORS [%] FOR EACH OF THE ALGORITHMS SEPARATED FOR ONE-, TWO-, AND THREE-COLUMN DOCUMENTS, AND SEPARATED FOR PHOTOCOPIES OR DIRECT SCANS.

in Performance Evaluation and Benchmarking of Six Page Segmentation Algorithms
by Faisal Shafait, Daniel Keysers, Thomas M. Breuel 2007

Table 1: Document Statistics

in Overview of the Second Text REtrieval Conference (TREC-2)
by unknown authors 1992
"... In PAGE 4: ... Errors in missing document separators or bad docu- ment numbers were screened out, although a fewwere missed and later reported as errors. Table1 shows some basic document collection statistics. Note that although the collection sizes are roughly equiv- alent in megabytes, there is a range of document lengths from very short documents (DOE) to very long (FR).... ..."

Table 9. Separate Multimedia Files

in Networked Digital Library of Theses and Dissertations
by Edward A. Fox, Gail Mcmillan, John L. Eaton 1997
"... In PAGE 11: ... They give a great deal of detail, have long bibliographies, and have extensive literature reviews, typical of this genre. Table9 serves several important purposes. Juxtapose Table 9 with Table 2 to see which multimedia formats are recommended and which formats ETD authors most frequently find useful to illustrate their research.... In PAGE 11: ... Table 9 serves several important purposes. Juxtapose Table9 with Table 2 to see which multimedia formats are recommended and which formats ETD authors most frequently find useful to illustrate their research. It important to remember that Table 9 illustrates separate multimedia files accompanying ETDs but not image formats authors used that were first embedded within their documents prior to conversion to PDF.... In PAGE 11: ... Juxtapose Table 9 with Table 2 to see which multimedia formats are recommended and which formats ETD authors most frequently find useful to illustrate their research. It important to remember that Table9 illustrates separate multimedia files accompanying ETDs but not image formats authors used that were first embedded within their documents prior to conversion to PDF. An analysis planned for later this year will determine how many ETDs have some kind of multimedia content and the average number of each media type per ETD.... ..."
Cited by 23

Table 3: Separate multimedia files in first 1454 VT ETDs File type Number of Documents Percent

in unknown title
by unknown authors 1999
Cited by 4
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