2. The method of claim 1 , where calculating the score further includes: generating a similarity vector for the text segment, the similarity vector for the text segment being generated based on a frequency of a term of the one or more particular terms; generating a similarity vector for the document, the similarity vector for the document being generated based on a frequency of a term in the document; and calculating the score based on the similarity vector for the text segment and the similarity vector for the document.
2. The method of claim 1 , where calculating the score further includes: generating a similarity vector for the text segment, the similarity vector for the text segment being generated based on a frequency of a term of the one or more particular terms; generating a similarity vector for the document, the similarity vector for the document being generated based on a frequency of a term in the document; and calculating the score based on the similarity vector for the text segment and the similarity vector for the document. 4. The method of claim 2 , where generating the similarity vector for the text segment includes: assigning a weight to each particular term of the one or more particular terms in the text segment; and generating the similarity vector for the text segment based on the weight assigned to each particular term of the one or more particular terms in the text segment.