Abstract: Systems and methods for enhanced advertising using semantic search are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a semantic group with which content of a search result relates, further determining a facet of the semantic group with which the content of the search result relates, identifying an advertisement based on the facet of the semantic group, assigning an index to the advertisement as being associated with the facet of the semantic group, storing the index of the advertisement in a machine-readable storage medium, and/or presenting the advertisement to the user for viewing in a user interface in conjunction with the search result.

Abstract: Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

Abstract: A music application guides a user with some musical experience through the steps of creating and editing a musical enhancement file that enhances and plays in synchronicity with an audio signal of an original artist's recorded performance. This enables others, perhaps with lesser musical ability than the original artist, to play-along with the original artist by following melodic, chordal, rhythmic, and verbal prompts. The music application accounts for differences in the timing of the performance from a standard tempo by guiding the user through the process of creating a tempo map for the performance and by associating the tempo map with MIDI information of the enhancement file. Enhancements may contain MIDI information, audio signal information, and/or video signal information which may be played back in synchronicity with the recorded performance to provide an aural and visual aid to others playing-along who may have less musical experience.

Abstract: Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items (e.g., Web pages, images, videos) that are related to specified categories. In one embodiment, the CRS processes content items to determine entities referenced by the content items, and to determine categories related to the referenced entities. The determined entities and/or categories may be part of a taxonomy that is stored by the CRS. Then, in response to a received request that indicates a category, the CRS determines and provides indications of one or more content items that each have a corresponding category that matches the indicated category. In some embodiments, at least some of these techniques are employed to implement a category-based news service.

Abstract: Methods, systems, and techniques for creating, managing, and using query templates to facilitate the execution of relationship queries are provided. Example embodiments provide a Query Template System “QTS”, which enables users, a system, program code, or other people or code to define search tips (i.e., predefined searches) through the generation of query templates that can be used by other users or code, to perform relationship searches using IQL. In one embodiment, the QTS includes a QT editor, a QT dispatcher, a QT creation and index management system, and one or more QT data repositories and indexes. These components cooperate to create and maintain query templates and to search for and retrieve matching query templates. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.