![AI Developed to Improve Relevance of Commentator Patter During Live Sports
WHEN watching sport on TV …a good commentator can make all the difference, peppering a play-by-play account of the action with expert knowledge and anecdotes. But even the best commentator’s repertoire is limited.
…Created by sports fan Greg Lee at the University of Alberta in Canada, [AI Program] Scores can tap into a stash of sporting stories to find relevant anecdotes that a commentator might not have thought of.
…The system works by matching the features of a live event - such as the teams, key players, the score and the remaining time - against a database of available stories. Once stories that include some of those features are found it selects the few that are most relevant and suggests them to a human commentator.
The challenge is in evaluating the relevance of candidate stories and ranking them. Lee’s system uses machine-learning techniques to do this. The most important feature was the teams involved and the second was the difference in number of runs.
To test the system, the researchers used it to create commentary for pre-recorded sports broadcasts and presented them to 254 volunteers, who said they found the commentary relevant and enjoyable.
(via AI sports commentator knows all the best stories - tech - 04 October 2012 - New Scientist)](http://25.media.tumblr.com/tumblr_mbmwam6ZQl1qgpcs1o1_400.jpg)
AI Developed to Improve Relevance of Commentator Patter During Live Sports
WHEN watching sport on TV …a good commentator can make all the difference, peppering a play-by-play account of the action with expert knowledge and anecdotes. But even the best commentator’s repertoire is limited.
…Created by sports fan Greg Lee at the University of Alberta in Canada, [AI Program] Scores can tap into a stash of sporting stories to find relevant anecdotes that a commentator might not have thought of.
…The system works by matching the features of a live event - such as the teams, key players, the score and the remaining time - against a database of available stories. Once stories that include some of those features are found it selects the few that are most relevant and suggests them to a human commentator.
The challenge is in evaluating the relevance of candidate stories and ranking them. Lee’s system uses machine-learning techniques to do this. The most important feature was the teams involved and the second was the difference in number of runs.
To test the system, the researchers used it to create commentary for pre-recorded sports broadcasts and presented them to 254 volunteers, who said they found the commentary relevant and enjoyable.
(via AI sports commentator knows all the best stories - tech - 04 October 2012 - New Scientist)
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