http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114360677-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-295 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H15-00 |
| filingDate | 2021-12-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_73280bfbbbc2f474ff7f90920bd70b89 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2ea9dc87717a0352e90e1c2ffb183a94 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ff20faa4960490389bedb6d61334e788 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9f59d56b50ae02b169b7e491fc81ab3f |
| publicationDate | 2022-04-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114360677-A |
| titleOfInvention | CT image report information extraction method and device based on multiple rounds of questions and answers, computer equipment and storage medium |
| abstract | The invention discloses a CT image report information extraction method, a device, computer equipment and a storage medium based on multiple rounds of questions and answers, wherein the method comprises the following steps: (1) presetting a head entity question-answering question template and a tail entity question-answering question template according to the information extraction task; (2) constructing and optimizing an information extraction model based on a reading understanding frame; (3) splicing sentences extracted from the extracted CT image report with question-answer questions of each head entity to obtain input texts required by extracting the head entities, and inputting the input texts into a trained information extraction model to obtain the head entities; then, splicing the question-answer templates of the head entity and the tail entity to obtain a question-answer of the tail entity aiming at the head entity, splicing the question-answer with sentences to obtain an input text required by extracting the tail entity, and inputting the input text into a trained information extraction model to obtain the tail entity; (5) and matching the obtained head entity and the tail entity into a triple, and outputting the extracted triple information after standardization. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115309910-A |
| priorityDate | 2021-12-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689 |
Total number of triples: 17.