International Business Machines Corporation

Ahmed Samir Serour Mousa El-Gamal

Craig M Trim

Victor Povar

Peter Currie Boyle

Eniko I Rozsa

Stephen J Edwards

Ibrahim Mohamed Salah El Din Ahmed

Claire R Turner

A natural language processing system and method resolves partial matches when a natural language input query does not fully specify an entity. The input query is tokenized into a set of query tokens, which are compared to contents of a searchable index, the contents representing entities, each of which is tokenized into a set of entity tokens associated with the tokenized entity. A plurality of partial match query tokens are identified from the set of query tokens, each partial match query token matching at least one entity token in the index. The entity(s) corresponding to each partial match query token are selected if a sequential break exists in the input query between the partial match query tokens and there is no intersection between the entity(s) corresponding to each partial match query token.

Partial match derivation using text analysis

Growing community of inventors

Giza, Egypt

Ahmed Samir Serour Mousa El-Gamal