| Delivering the right information to the user is fundamental in information retrieval system. Many traditional information retrieval models assume word independence and view a document as bag-of-words, however getting the right information requires a deep understanding of the content of the document and the relationships that exist between words in the text.In the first technique, we only considered the first type of collocation to calculate the document score where the positional frequency of query terms co-occurrence have been used to identify collocation relationship between query terms and calculating query term's weight.In the second technique, both types of collocation have been considered where the co-occurrence frequency distribution within a predefined window has been used to determine query terms collocations and computing query term's weight. Evaluation of the proposed techniques show performance gain in some of the collocations over the chosen baseline runs.This study focuses on developing two new document ranking techniques, which are based on a lexical cohesive relationship of collocation. Collocation relationship is a semantic relationship that exists between words that co-occur in the same lexical environment. Two types of collocation relationship have been considered collocation in the same grammatical structure (such as a sentence), and collocation in the same semantic structure where query terms occur in different sentences but they co-occur with the same words. |
