Linking Event Mentions From Cricket Match Reports to Commentaries
نویسنده
چکیده
We focus on the problem of linking event mentions in cricket match reports to instances from temporal commentary data. The problem is challenging because depending on the event type, event mentions could be linked to a single data instance, or to a set of instances. The complexity of the natural language in the reports along with a lack of canonical names or verbose descriptions of the data instances to be linked, add to the difficulties. Given a user-highlighted event mention from a cricket match report, we solve the problem of linking it to a relevant set of balls from the corresponding match commentary. Our approach encodes cricket-specific intuitions broadly into the system design and more specifically as features for multiple classifiers for candidate detection. Further, we leverage techniques such as structured match, context similarity, iterators and sequential proximity of linked entities to perform the linking. Using a dataset of 2828 event mentions across 187 match reports related to 30 matches from the 2011 Cricket World Cup, we show the effectiveness of the proposed methods.
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