http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108898225-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5e51e2fe23e91390f11913a6ac04b07c http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d0de77d2decc9953ccdb479fc374f9b2 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N99-00 |
| filingDate | 2018-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_31397840089955aac02fafb013375b92 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1500a486d1dc683a94b1627a74bf0b03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2687a349c18be619e7498fab0edc9111 |
| publicationDate | 2018-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108898225-A |
| titleOfInvention | Data labeling method based on human-computer collaborative learning |
| abstract | The invention relates to a data labeling method based on human-computer collaborative learning, which includes: 1. Experts in the field formulate classification standards and labeling specifications, and give samples as gold standard data; 2. Use gold standard data as clustering The central point clusters the data, selects the silver-labeled data to train the labelers, uses the gold-labeled data to test the labelers, and if the test passes, the next step of labeling can be carried out; 3. Use the gold-labeled data and the silver-labeled data as The training set classifies the unclassified data, and the obtained data with high confidence can be directly used, and added to the training data set to retrain the classifier; 4. Select the most worthy of labeling data from the to-be-labeled data set and distribute it to Annotators perform annotation, and add the obtained annotation results to the training set to retrain the classifier; iterate steps 3 and 4 until the accuracy of the classifier reaches the preset threshold. The invention can effectively reduce the cost of manual labeling, and at the same time ensure the high quality of labeling. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109670554-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11334723-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109670554-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112833942-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109903053-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110782876-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110647985-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110991486-A |
| priorityDate | 2018-05-04-04:00^^<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/substance/SID482532689 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 |
Total number of triples: 27.