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Table 1: Mean scores (standard deviations in parantheses) in the domain-specific knowledge tests (pre- and posttests) in the four experimental conditions.

in
by unknown authors
"... In PAGE 6: ...xternal (M = 6.76; SD = 2.17). The main effect for the external collaboration script (F(1,93) = 12.96; p lt; .01) was significant indicating that the high structured external script led learners to acquire more domain-general knowledge about argumentation than the low structured external script. Acquisition of domain-specific knowledge Table1 presents the mean scores in the domain-specific knowledge tests for each experimental condition. On the overall measure of domain-specific knowledge, learners holding high structured internal scripts reached higher scores than learners holding low structured internal scripts, especially when they collaborated by aid of the high structured external script.... ..."

Table 4: Evaluation results using domain-specific background knowledge

in QuickMig - Automatic Schema Matching for Data Migration Projects
by Christian Drumm, Matthias Schmitt, Erhard Rahm 2007
"... In PAGE 8: ... 6.5 Domain-specific Background Knowledge Table4 shows the matching results achieved by QuickMig using the Equality and the SplitConcat matcher in com- bination with the Ontology-based matcher. The combina- tion of these two approaches achieved F-measure values be- tween 0.... ..."
Cited by 1

Table 2: MAP for best run for official results at CLEF/GIRT2004 and for monolingual domain-specific pre-tests.

in unknown title
by unknown authors
"... In PAGE 4: ... Experiments with different values for the factor c were performed. Table2 shows the mean average precision (MAP) for our official run from 2004, and MAP for the reranked result set for different values of the factor c. The precision was significantly increased from 0.... ..."

Table 1. Domain-specific verbs

in Using Automatically Learnt Verb Selectional Preferences for Classification of Biomedical Terms
by Irena Spasic, Sophia Ananiadou B, Corresponding Irena Spasic 2004
"... In PAGE 14: ...ing verbs. A total of 88 verbs occurring more than 100 times were retained. These verbs were re-ranked according to their frequency of co-occurrence with terms. Table1 provides a list of ten high-ranked verbs, which were later used in the experiments. The selected verbs are considered to be domain-specific.... ..."
Cited by 1

Table 3: Domain-specificity of filtered translation

in Semi-Automatic Acquisition of Domain-Specific Translation Lexicons
by Philip Resnik, I. Dan Melamed 1997
Cited by 24

Table 3. Example of our domain-specific

in Evaluation of Stemming, Query Expansion and Manual Indexing Approaches for the Genomic Task
by Samir Abdou 2005
"... In PAGE 4: ...7). Expanded Query #111 is shown in Table3 , which lists all added synonyms (under the label lt;EXP gt;), including closely related spellings ( PrP and PRP, or PrP33- 35C and prp3-335c ), as well as certain definitions or synonyms ( prion protein ). These added terms do not occur in the collection with the same document frequency (in fact, we have no guarantee that these added terms even appear in the corpus).... In PAGE 4: ... These added terms do not occur in the collection with the same document frequency (in fact, we have no guarantee that these added terms even appear in the corpus). For example, the term prion (shown in Table3 ) appears in 4,112 MEDLINE records, while the term prp in 2,711 ( prpc in 679, ascr in 57, prip in 22 and prp27-30 in 19). The terms prp33-5c and mgc26679 however do not occur at all in the corpus.... ..."
Cited by 5

Table 3. Application of Domain-Specificity

in unknown title
by unknown authors

Table 3. Application of Domain-Specificity

in unknown title
by unknown authors

Table 1. The Task Structure for Design. For each task, there is a default compiled knowledge method that has domain-specific knowledge to directly achieve it. (This method is not included here.) For subtasks such as critiquing, I only indicate families of generic AI methods, without explicit indication of their subtasks.

in Design Problem Solving: A Task Analysis
by B. Chandrasekaran

Table 3: Estimation results using domain-specific estimators

in unknown title
by unknown authors
"... In PAGE 5: ... To overcome this restriction, more benchmarks with floating point instructions should be used, improving the generalization of the neural network. Table3 shows the results obtained with the domain-specific estimators. As one can see, their use results in a good per- formance prediction when compared to generic estimators.... In PAGE 6: ... In this case, we have used the domain A estimator with the benchmarks of the domain B, and vice-versa. As one can see in Table3 , the use of domain-specific estimators in ap- plications from an unrelated domain results in much poorer estimations. This illustrates the validity of our classification method.... ..."
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