Device and method for natural language processing

A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method for relation extraction in a natural language sentence having n words, the method comprising:

• providing a recurrent neural network for joint entity and relation extractions of entities and relations between the entities in the sentence, wherein the recurrent neural network is configured to fill the cells of a entity-relation table and includes a forward neural network and a backward neural network, wherein the forward neural network is configured to provide a representation of a current history (hfi.) for a certain word of the sentence, and wherein the backward neural network is configured to provide a representation for a following context of the certain word of the sentence,
• providing an entity-relation table for storing entity labels for the entities and relation labels for the relations, wherein both the entity labels and the relation labels are defined as instances of binary relationships between certain words wi and wj in the sentence, with i∈[1, . . . , n], and j∈[1, . . . , n],
• wherein each of the entity labels is a first binary relationship for i=j, and wherein each of the relation labels is a second binary relationship for i≠j, and
• filling the cells of the provided entity-relation table using the provided recurrent neural network.