The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
automatic transcription of a spoken document using a speech recognizer. The difficult point of this task is that the automatic transcription contains many recognition errors, therefore we cannot trust keywords extracted from the automatic transcription using conventional method such as tfmiddotidf. To solve this problem, we
. The task is complicated by the high word error rate (WER) of the ASR for this kind of videos. For this reason a novel relevance criterion based on domain information is proposed. Wikipedia is used both as a source of metadata and as a linguistic resource for disambiguating keywords and for eliminating the out of topic
With the advance of Web technologies, the number of "academic" videos available on the Web (e.g., online lectures, web seminars, conference presentations, or tutorial videos) has increased explosively. A fundamental task of managing such videos is to classify them into relevant subjects. For this task, most of current
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.