Abstract: One example method for controlling presentations in video conferences includes displaying, by a video conference application executing on a first client device, a first slide of a plurality of slides in a slide presentation as part of a visual display of a video conference on the first client device, receiving, by the video conference application executing on the first client device from the video conference application executing on a second client device, a command to display a second slide, wherein the command is issued by a first user of a plurality of users of the video conferencing application authorized to control the slide presentation; and displaying, by the video conference application executing on the first client, the second slide in response to receiving the command.

Abstract: One example method for controlling presentations in video conferences includes displaying, by a video conference application executing on a first client device, a first slide of a plurality of slides in a slide presentation as part of a visual display of a video conference on the first client device, receiving, by the video conference application executing on the first client device from the video conference application executing on a second client device, a command to display a second slide, wherein the command is issued by a first user of a plurality of users of the video conferencing application authorized to control the slide presentation; and displaying, by the video conference application executing on the first client, the second slide in response to receiving the command.

Abstract: A system for extracting attributes can analyze text from data sources, extract n-grams from the text as candidate attribute and service/product pairs, prompt a human operator to rate the suitability of the candidate attribute and service/product pairs, and, based on the ratings, add the candidate attribute and service/product pairs to an attribute dictionary. In embodiments, an attribute extraction system includes an n-gram extractor, an attribute selector interface, and a dictionary builder. Data sources may include product titles, category descriptions, product descriptions, and like data from one or more product databases. In embodiments, the attribute dictionary is analyzed to determine canonical names for products or services and name variants for the products or services.

Abstract: A system for extracting attributes can analyze text from data sources, extract n-grams from the text as candidate attribute and service/product pairs, prompt a human operator to rate the suitability of the candidate attribute and service/product pairs, and, based on the ratings, add the candidate attribute and service/product pairs to an attribute dictionary. In embodiments, an attribute extraction system includes an n-gram extractor, an attribute selector interface, and a dictionary builder. Data sources may include product titles, category descriptions, product descriptions, and like data from one or more product databases. In embodiments, the attribute dictionary is analyzed to determine canonical names for products or services and name variants for the products or services.