Sap Se

Marcus Danei

Benjamin Schork

Tetyana Chernenko

Lauritz Brandt

Term ambiguity is resolved by referencing a terminology database. An input is received comprising the term designated as ambiguous, and a string including the term. The term is posed as a query to the terminology database containing metadata of at least one type. Query results are returned including at least two possible meanings. Sequence(s) are extracted from the query results, each sequence including at least two pieces of metadata of a same type—one for each possible meaning of the ambiguous term. The metadata of each entry of a sequence is compared with the query result and corresponding scores are calculated. The scores are compared to determine a final meaning of the ambiguous term. Simpler embodiments considering one type of metadata (one sequence), may calculate and compare a listing of scores. Complex embodiments considering more than one type of metadata (multiple sequences), may calculate and compare a matrix of scores.

System and method performing terminology disambiguation

Systems and methods include acquisition of a plurality of text segments, each of the text segments associated with a flag value indicating whether the text segment is associated with a correct replacement text or an incorrect replacement text, determination of one or more n-grams of each text segment of the plurality of text segments, generation, based on the one or more n-grams of each text segment and the flag value associated with each text segment, a model to determine a flag value based on one or more input n-grams, reception of an input text segment, determination of a second one or more n-grams of the input text segment, determination, using the model, of an output flag value based on the determined second one or more n-grams, and presentation of the input text segment and the output flag value on a display.

Growing community of inventors

Plankstadt, Germany

Marcus Danei