Method and device with knowledge map generation

A method for generating a knowledge map, comprising:

• receiving a document through an input/output interface of a computing device;
• extracting, as main entities, a set of words from the received document by applying a key-phrase-extraction language model to the document;
• extracting, as a relational verb, from the received document, a first verb representing a first relationship between the main entities and a second verb representing a second relationship between the main entities by performing dependency parsing on a sentence including the main entities;
• clustering, by a large language model, the extracted relational verbs into clusters to generate a relational verb dictionary;
• generating a first knowledge triplet using a first cluster identifier designated in the relational verb dictionary based on a first verb indicating a first relationship between a first entity and a second entity among the main entities being included in the relational verb dictionary;
• generating a second knowledge triplet using a second cluster identifier obtained by inputting a few-shot prompt into the large language model based on the verb indicating the second relationship between a third entity and a fourth entity among the entities is not included in the relational verb dictionary;
• generating the knowledge map based on the knowledge triplet;
• and
• recording the generated knowledge map in a storage medium of the computing device.

A device for generating a knowledge map, comprising:

• one or more memory devices;
• and
• one or more processors that generate the knowledge map by executing instructions stored in the one or more memory devices,
• wherein the instructions are executed to cause, by the device,
• determining a domain to generate the knowledge map,
• receiving a document selected from a document database based on belonging to the domain,
• extracting, as main entities, a set of words by applying a key-phrase-extraction language model to the document,
• extracting a verb representing a relationship between main entities as a relational verb in the document by performing dependency parsing on a sentence including the main entities,
• clustering, by the large language model, the extracted relational verbs into clusters to generate a relational verb dictionary,
• generating a knowledge triplet including a first entity and a second entity among the main entities and a cluster identifier indicating a relationship between the first entity and the second entity based on the relational verb dictionary,
• generating the knowledge map based on the knowledge triplet, and
• recording the generated knowledge map in the storage medium are performed.