As we know, most of the researchers use manual validation by the experts on a domain, but is there a new way? or any benchmark, if anyone has a benchmark dataset for this task in any domain plz provides to me if possible. Thanks in advance.
knowledge extraction is a very generic task. If you mean keyphrase extraction than there are benchmark datasets - listed on this git url https://github.com/snkim/AutomaticKeyphraseExtraction
Similarly another dataset can be found for named entity extraction, summary extraction
Fahim Shaltout
Thanks a lot for ur answer. Can u plz explain it little more for me. I need to check or evaluate the validation of concepts extraction for ontology learning. If u has any advice or suggestion plz guide me. With sincere thanks to u.
Khushboo Thaker
Thanks a lot for ur answer. I mean the concepts extraction for the ontology learning process ( it maybe similar to keyphrase extraction).
If u have any advice or suggestion plz guide me. With sincere thanks for u.🌻
Fahim Shaltout.
Kindly could you explain the Applicabilty measure ?
Do you mean how will these extraction concepts will be used in other applications or methods ?
Recently there are some Websites that provide some services such as
- Data categorization
- Image annotation
- Data labeling
- Sentiment Analysis One of these Websites is crowdflower , https://visit.figure-eight.com/People-Powered-Data-Enrichment_T
Sumaia Mohammed Al-Ghuribi
Thanks for ur answer. But these websites not suitable for validating of concepts extraction task, also it depends on the validation by experts. I'm looking for benchmark data or any other way than using experts
Fatima Nadeem Al-Aswadi I think concept extraction can be considering as data labeling ( labeling concepts from the documaents).
Good luck I hope you find another way.
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