Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for disambiguating join paths for natural language queries. One of the methods includes, obtaining a natural language query from a user; parsing the natural language query into structured operations to be performed on APIs of a knowledge base, including: responsive to detecting a parsing ambiguity in which the natural language query can be parsed in two or more ways: providing, through a user interface, to the user one or more information items identifying the parsing ambiguity; responsive to a user interaction with an information item: modifying the parsing in accordance with the user interaction to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base to determine one or more search results; and providing one or more search results to the user.

Abstract: Videos to be hosted at an asset hosting platform and submitted by an owner of the videos are received. The videos are provided for consumption by users of the asset hosting platform. The historical data identifies a historical popularity of one or more of the videos. Whether the historical data associated with the one or more of the videos satisfies a viewership rate specifying a rate of viewership over a predetermined period of time for the one or more of the videos is determined. Responsive to determining that the historical data associated with the one or more of the videos satisfies the viewership rate, the owner is determined as eligible to participate in a video performance sharing program. A communication for a client device associated with the owner of the videos to invite the owner to participate in the video performance sharing program is generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for disambiguating join paths for natural language queries. One of the methods includes, obtaining a natural language query from a user; parsing the natural language query into structured operations to be performed on APIs of a knowledge base, including: responsive to detecting a parsing ambiguity in which the natural language query can be parsed in two or more ways: providing, through a user interface, to the user one or more information items identifying the parsing ambiguity; responsive to a user interaction with an information item: modifying the parsing in accordance with the user interaction to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base to determine one or more search results; and providing one or more search results to the user.

Abstract: A system and method generates a popularity score for a first video based at least in part on first popularity data. The popularity score indicative of a popularity of the first video. The system and method retrieves first historical data including historical popularity of a second video submitted by an owner of the first video, in view of determining that the popularity score for the first video is greater than a predetermined value. The system and method determines that the second video is eligible to participate in a video performance sharing program based at least in part on the first historical data. The system and method generates a communication for a client device associated with the owner of the second video to invite the owner of the second video to participate in the video performance sharing program.

Abstract: One of the methods includes, obtaining a natural language query from a user; while converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base: responsive to detecting a linguistic ambiguity associated with the converting, wherein the linguistic ambiguity identifies two or more interpretations of a word included in the natural langue query: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the converting in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user.

Abstract: One of the methods includes, obtaining a natural language query from a user; while converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base: responsive to detecting a linguistic ambiguity associated with the converting, wherein the linguistic ambiguity identifies two or more interpretations of a word included in the natural langue query: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the converting in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user.

Abstract: One of the methods includes, obtaining a natural language query from a user; while converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base: responsive to detecting a linguistic ambiguity associated with the converting, wherein the linguistic ambiguity identifies two or more interpretations of a word included in the natural langue query: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the converting in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user.

Abstract: A system and method for sharing revenue associated with a video is disclosed. The method includes generating a popularity score for a first video based at least in part on first popularity data. The popularity score is indicative of present and future popularity of the first video. The method also includes retrieving historical data includes historical popularity and profitability of multiple videos submitted by an owner of the first video, in response to determining that the popularity score for the first video is greater than a predetermined value. The method also includes determining that the first video is eligible to participate in a revenue sharing program based at least in part on the retrieved historical data. The method includes generating a message for a client device associated with the owner of the first video to invite the owner of the first video to participate in the revenue sharing program.

Abstract: A method, executed on a processor, for computing potential revenue from video program views, includes receiving ad availabilities in video programs; receiving an identification of each of one or more ad requests based on an ad availability in a video program, each ad request defined by one or more factors i and an ad format m of an ad requested, the ad requests defining the video program as one or more monetizable views; receiving, or each of the one or more factors i, a revenue term; and determining, based on the ad format m and the revenue term, total potential revenue from an advertisement served in the ad availability.

Abstract: One of the methods includes, obtaining a natural language query from a user; while converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base: responsive to detecting a linguistic ambiguity associated with the converting, wherein the linguistic ambiguity identifies two or more interpretations of a word included in the natural langue query: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the converting in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user.

Abstract: Systems, methods, and computer storage media for handling failures in generating structured queries from natural language queries. One of the methods includes obtaining, through a natural language front end, a natural language query from a user; converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base, comprising: parsing the natural language query, analyzing the parsed query to determine dependencies, performing lexical resolution, forming a concept tree based on the dependencies and lexical resolution; analyzing the concept tree to generate a hypergraph, generate virtual query based on the hypergraph, and processing the virtual query to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query to the user.