Patents by Inventor Ioannis Paschalidis

Ioannis Paschalidis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for creating a domain-specific training corpus from generic domain corpora
    Patent number: 11874864
    Abstract: A method (100) for generating a domain-specific training set, comprising: generating (130) a generic corpus comprising a plurality of tokenized documents, comprising: (i) parsing (132) a document retrieved from the generic corpus; (ii) preprocessing (134) the parsed document; (iii) tokenizing (136) the preprocessed document; and (iv) storing (138) the tokenized document in the generic corpus; generating (140) an ontology database of tokenized entries, comprising: (i) parsing (142) an ontology entry retrieved from an ontology; (ii) preprocessing (144) the parsed entry; (iii) tokenizing (146) the preprocessed entry; and (iv) storing (148) the tokenized entry in the ontology database; querying (150), using domain-specific tokenized entries from the ontology database, the tokenized documents in the generic corpus; identifying (160), based on the query, a plurality of tokenized documents specific to the domain; and storing (170), in a training set database, the identified tokenized documents as a training set spec
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: January 16, 2024
    Assignee: Koninklijke Philips N.V.
    Inventors: Henghui Zhu, Amir Mohammad Tahmasebi Maraghoosh, Ioannis Paschalidis
  • METHOD AND SYSTEM FOR CREATING A DOMAIN-SPECIFIC TRAINING CORPUS FROM GENERIC DOMAIN CORPORA
    Publication number: 20210383066
    Abstract: A method (100) for generating a domain-specific training set, comprising: generating (130) a generic corpus comprising a plurality of tokenized documents, comprising: (i) parsing (132) a document retrieved from the generic corpus; (ii) preprocessing (134) the parsed document; (iii) tokenizing (136) the preprocessed document; and (iv) storing (138) the tokenized document in the generic corpus; generating (140) an ontology database of tokenized entries, comprising: (i) parsing (142) an ontology entry retrieved from an ontology; (ii) preprocessing (144) the parsed entry; (iii) tokenizing (146) the preprocessed entry; and (iv) storing (148) the tokenized entry in the ontology database; querying (150), using domain-specific tokenized entries from the ontology database, the tokenized documents in the generic corpus; identifying (160), based on the query, a plurality of tokenized documents specific to the domain; and storing (170), in a training set database, the identified tokenized documents as a training set spec
    Type: Application
    Filed: November 26, 2019
    Publication date: December 9, 2021
    Inventors: Henghui Zhu, Amir Mohammad Tahmasebi Maraghoosh, Ioannis Paschalidis