Applying Dynamic Co-occurrence in Story Link Detection
|
| Title | Applying Dynamic Co-occurrence in Story Link Detection |
| Authors | |
| Abstract | Story link detection is part of a broader initiative called Topic Detection and Tracking, which is defined to be the task of determining whether two stories, such as news articles or radio broadcasts, are about the same event, or linked. In order to mine more information from the contents of the stories being compared and achieve a more high-powered system, motivated by the idea of the word co-occurrence analysis, we propose our dynamic co-occurrence, which is defined to be a pair of words that satisfy certain relation restriction. In this paper, relation restriction refers to a set of features. This paper evaluates three features: capital, location and distance. We use dynamic co-occurrence in the similarity computation when we apply it in the story link detection system. Experimental results show that the story link detection systems based on the dynamic co-occurrence perform very well, which testify the great capabilities of the dynamic co-occurrence. At the same time, we also find that relation restriction is critical to the performance of dynamic co-occurrence. |
| Publisher | University of Zagreb, University Computing Centre - SRCE |
| Date | 1970-01-01 |
| Source | Journal of Computing and Information Technology Vol 17, No 2 (2009) |
| Rights | CIT. Journal of Computing and Information Technology is an open access journal.Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |