Abstract: Method and system for enriching a knowledge graph are described. The knowledge graph enrichment system provides a way of generating candidates for a new node ready to be folded into the existing graph, and also a new way of connecting nodes via semantic equivalence inferred via the proposed approach. The technical problem of inferring the sematic equivalent entities and relating them automatically in the knowledge graph is addressed by providing the methodology that utilizes neural machine translation via round trip translations through one or more bridging languages. A bridging language is a natural or an artificial morphologically-rich language.

Abstract: Methods, systems, and apparatus, including computer program products, for presenting search query suggestions. In an aspect, query triggers in a resource are identified at a client device. For each query trigger identified in the resource, a rank score for the query trigger based on query trigger attributes is calculated at the client device. The query triggers are ranked at the client device based on the rank scores. Search query suggestions are generated at the client device from the query triggers identified in the resource. The search query suggestions include terms of the query triggers, expansion terms of the query triggers, and search query suggestions generated from templates applied to the terms of the query triggers and expansion terms of the query triggers. The search query suggestions are presented at the client device according to the rank of the corresponding query triggers.

Abstract: Methods, systems, and apparatus, including computer program products, for presenting search query suggestions. In an aspect, query triggers in a resource are identified at a client device. For each query trigger identified in the resource, a rank score for the query trigger based on query trigger attributes is calculated at the client device. The query triggers are ranked at the client device based on the rank scores. Search query suggestions are generated at the client device from the query triggers identified in the resource. The search query suggestions include terms of the query triggers, expansion terms of the query triggers, and search query suggestions generated from templates applied to the terms of the query triggers and expansion terms of the query triggers. The search query suggestions are presented at the client device according to the rank of the corresponding query triggers.

Abstract: Methods, systems, and apparatus, including computer program products, for presenting search query suggestions. In an aspect, query triggers in a resource are identified at a client device. For each query trigger identified in the resource, a rank score for the query trigger based on query trigger attributes is calculated at the client device. The query triggers are ranked at the client device based on the rank scores. Search query suggestions are generated at the client device from the query triggers identified in the resource. The search query suggestions include terms of the query triggers, expansion terms of the query triggers, and search query suggestions generated from templates applied to the terms of the query triggers and expansion terms of the query triggers. The search query suggestions are presented at the client device according to the rank of the corresponding query triggers.

Abstract: Methods, systems, and apparatus, including computer program products, for presenting search query suggestions. In an aspect, query triggers in a resource are identified at a client device. For each query trigger identified in the resource, a rank score for the query trigger based on query trigger attributes is calculated at the client device. The query triggers are ranked at the client device based on the rank scores. Search query suggestions are generated at the client device from the query triggers identified in the resource. The search query suggestions include terms of the query triggers, expansion terms of the query triggers, and search query suggestions generated from templates applied to the terms of the query triggers and expansion terms of the query triggers. The search query suggestions are presented at the client device according to the rank of the corresponding query triggers.