Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes detecting that a user has interacted with a post on a social network. The social network provides a plurality of entity contents. Further, the method includes determining a topic of the post based on content of the post. The method includes recommending following a related entity content of the plurality of entity contents to the user in response to determining that the topic is associated with the related entity content, the user is not following the related entity content, one or more users of the social network have posted in connection with the related entity content within a threshold amount of time, and the user is not blocked from accessing the related entity content.

Abstract: Methods, systems, and computer-readable media are provided for ranking search results. A search system may determine several metrics based on search results. The search system may determine weights for the metrics, wherein the weights are based in part on the type of entity included in the search. The search system may determine a score by combining the metrics and the weights. The search system may rank search results based on the score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes detecting that a user has interacted with a post on a social network. The social network provides a plurality of entity contents. Further, the method includes determining a topic of the post based on content of the post. The method includes recommending following a related entity content of the plurality of entity contents to the user in response to determining that the topic is associated with the related entity content, the user is not following the related entity content, one or more users of the social network have posted in connection with the related entity content within a threshold amount of time, and the user is not blocked from accessing the related entity content.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes an operation for detecting a post on a social network, where the post is associated with an article. The social network has a plurality of entity pages associated with respective entities. Further, the method includes operations for determining a topic of the article based on a content of the article, and for determining whether the topic is associated with a related entity page on the social network. The related entity page is recommended to a user accessing the post when the topic is associated with the related entity page.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes an operation for detecting a post on a social network, where the post is associated with an article. The social network has a plurality of entity pages associated with respective entities. Further, the method includes operations for determining a topic of the article based on a content of the article, and for determining whether the topic is associated with a related entity page on the social network. The related entity page is recommended to a user accessing the post when the topic is associated with the related entity page.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: Methods, systems, and computer-readable media are provided for ranking search results. A search system may determine several metrics based on search results. The search system may determine weights for the metrics, wherein the weights are based in part on the type of entity included in the search. The search system may determine a score by combining the metrics and the weights. The search system may rank search results based on the score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Abstract: The present invention relates to an IRES element that is operably linked to one or more coding sequences, wherein the IRES element expresses said coding sequences in an endothelial cell.

Abstract: A system and method for speaker independent speech recognition is provided that integrates spectral and tonal analysis in a sequential architecture. The system analyzes the spectral content of a spoken syllable, or group of syllables, (18) and generates a spectral score for each of a plurality of predicted syllables (46, 22). Time alignment information (36) for the predicted syllable(s) is then sequentially passed to a tonal modeling block (14) which performs an iterative fundamental frequency contour estimation for the spoken syllable(s). The tones of adjacent syllables, as well as the rate of change of the tonal information, is then used to generate a tonal score for each of the plurality of predicted syllables. The tonal score (34) is then arithmetically combined with (40) the spectral score (32) in order to generate an output prediction.