#codingexercise
Double GetAlternateEvenNumberRangeProduct()(Double [] A)
{
if (A == null) return 0;
Return A.AlternateEvenNumberRangeProduct();
}
Today we will continue to discuss Hearst's paper on untangling text data mining.
We had cited an example from the previous paper about using text to form hypotheses about Disease. Today we look at this example straight from one of the sources. The fact that new hypotheses can be drawn from text has been alluring for a long time but virtually untapped. Experts can only read a small subset of what is published in their fields and are often unaware of developments in related fields. Thus it should be possible to find useful linkages between information in related literatures but the authors of those literatures rarely refer to one another's work.
The example of tying migraine headache to deficiency in magnesium was suggested in Swanson and Smalheiser's efforts. Swanson extracted various titles of articles in the biomedical literature and paraphrased them as we had seen earlier
stress is associated with migraines
stress can lead to loss of magnesium
calcium channel blockers prevent some migraines
magnesium is a natural calcium channel blocker
spreading cortical depression is implicated in some migraines
high levels of magnesium inhibit spreading cortical depression
migraine patients have high platelet aggregability
magnesium can suppress platelet aggregability
This led to the hypotheses and its confirmation via experimental means. This approach has been only partially automated. By that Hearst means that there are many more possibilities as can be hinted with combinatorial explosion. Beeferman explored certain links via lexical relations using WordNet. However, sophisticated new algorithms are needed for helping in the pruning process. Such process needs to take into account various kinds of semantic constraints. This therefore falls in the domain of computational linguistics.
#codingexercise
Double GetAlternateOddNumberRangeProduct()(Double [] A)
{
if (A == null) return 0;
Return A.AlternateOddNumberRangeProduct();
}
Double GetAlternateEvenNumberRangeProduct()(Double [] A)
{
if (A == null) return 0;
Return A.AlternateEvenNumberRangeProduct();
}
Today we will continue to discuss Hearst's paper on untangling text data mining.
We had cited an example from the previous paper about using text to form hypotheses about Disease. Today we look at this example straight from one of the sources. The fact that new hypotheses can be drawn from text has been alluring for a long time but virtually untapped. Experts can only read a small subset of what is published in their fields and are often unaware of developments in related fields. Thus it should be possible to find useful linkages between information in related literatures but the authors of those literatures rarely refer to one another's work.
The example of tying migraine headache to deficiency in magnesium was suggested in Swanson and Smalheiser's efforts. Swanson extracted various titles of articles in the biomedical literature and paraphrased them as we had seen earlier
stress is associated with migraines
stress can lead to loss of magnesium
calcium channel blockers prevent some migraines
magnesium is a natural calcium channel blocker
spreading cortical depression is implicated in some migraines
high levels of magnesium inhibit spreading cortical depression
migraine patients have high platelet aggregability
magnesium can suppress platelet aggregability
This led to the hypotheses and its confirmation via experimental means. This approach has been only partially automated. By that Hearst means that there are many more possibilities as can be hinted with combinatorial explosion. Beeferman explored certain links via lexical relations using WordNet. However, sophisticated new algorithms are needed for helping in the pruning process. Such process needs to take into account various kinds of semantic constraints. This therefore falls in the domain of computational linguistics.
#codingexercise
Double GetAlternateOddNumberRangeProduct()(Double [] A)
{
if (A == null) return 0;
Return A.AlternateOddNumberRangeProduct();
}
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