Abstract: The present invention relates to information retrieval. In order to facilitate a search and identification of documents, there is provided a computer-implemented method for training a classifier model for data classification in response to a search query.

Abstract: The present invention relates to information retrieval. In order to facilitate a search and identification of documents, there is provided a computer-implemented method for training a classifier model for data classification in response to a search query.

Abstract: A computer-implemented method for generating digital information data in a subject area is proposed. The method comprises: providing, at a processing unit, digital information corpus data; extracting, via the processing unit, digital information seed data from the digital information corpus data; performing, via the processing unit, a search in at least one database comprising knowledge information, thereby extracting a plurality of text blocks related to the subject area from the at least one database; wherein the search is performed based upon the digital information seed data, indexing, via the processing unit, the text blocks in temporal sequence; generating, via the processing unit, the digital information data using the temporally organized text blocks.

Abstract: The present invention relates to classifying data (24). A first data driven model (50) is trained based on labeled historic data (44). A second data driven model (60), comprises a set of rules (42). Data (24) to be classified is obtained at the first data driven model (50) and the second data driven model (60). A first classification (52) is determined for the data (24) by the first data driven model (50) and a second classification (62) is determined for the data (24) by the second data driven model (60). A result signal (80) is provided based on the classifications (52, 62).

Abstract: The present invention relates to information retrieval. In order to facilitate a search and identification of documents, there is provided a computer-implemented method for training a classifier model for data classification in response to a search query.

Abstract: In order to facilitate a search and identification of documents, an information retrieval system is provided for performing a search on a corpus of data objects. The information retrieval system comprises a device and a database. The database is configured to store at least one syntactic search index data structure and at least one semantic search index data structure. The syntactic search index data structure is configured to index and store in the database a plurality of terms from the corpus of data objects along with syntactic annotations indicating syntactic information. The at least one semantic search index data structure is configured to index and store in the database the plurality of terms from the corpus of data objects along with semantic annotations indicating semantic information. The device comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive a syntactic query and a semantic query.