Furthermore , manually selected word pairs are often biased towards highly related pairs ( Gurevych , 2006 ) , because human annotators tend to select only highly related pairs connected by relations they are aware of .
computing semantic relatedness across parts of speech
Iryna Gurevych
This is an important property if semantic relatedness is used in information retrieval where users tend to use specific search terms ( Porsche ) rather than general ones ( car ) . Furthermore , manually selected word pairs are often biased towards highly related pairs ( Gurevych , 2006 ) , because human annotators tend to select only highly related pairs connected by relations they are aware of . Automatic corpus-based selection of word pairs is more objective , leading to a balanced dataset with pairs connected by all kinds of lexical-semantic relations .
Furthermore , manually selected word pairs are often biased towards highly related pairs ( @@CITATION ) , because human annotators tend to select only highly related pairs connected by relations they are aware of .