Semantic compression

Increased prolixity does not compensate for the lexical compression and an original document cannot be reconstructed in a reverse process.

Then a desired number of words with top cumulated frequencies are chosen to build a targed lexicon.

In the second step, compression mapping rules are defined for the remaining words in order to handle every occurrence of a less frequent hyponym as its hypernym in output text.

They are both nest building social insects, but paper wasps and honey bees organize their colonies in very different ways.

In a new study, researchers report that despite their difference of opinions, these insects act the same network of genes to steer their party demeanor.

Honey insects and insect are separated by more than hundred million years of organic processes, and there are impinging differences of opinions in how they divvy up the work of affirming a biological group.A natural tendency to keep natural language expressions concise can be perceived as a form of implicit semantic compression, by omitting unmeaningful words or redundant meaningful words (especially to avoid pleonasms).

[2] In the vector space model, compacting a lexicon leads to a reduction of dimensionality, which results in less computational complexity and a positive influence on efficiency.

Semantic compression is advantageous in information retrieval tasks, improving their effectiveness (in terms of both precision and recall).