Timeline for Extract names from a document [closed]
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
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| Jan 6, 2021 at 5:20 | history | edited | J. M.'s missing motivation♦ |
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| Aug 31, 2018 at 7:59 | history | closed |
Henrik Schumacher David G. Stork MarcoB Yves Klett rhermans |
Needs more focus | |
| Aug 31, 2018 at 7:59 | comment | added | rhermans | @user64494 a duplicate of a question that has been closed as off-topic... I agree with Carl, the main problem here is that this is too broad, and therefore off-topic. Liuba, Your question may be put on-hold because its unanswerable for lack of details. We can't help unless you edit your question to improve it and make it specific, with all the details one would need to reproduce your problem exactly. Please don't be discouraged by that cleaning-up policy. Learn about good questions here. | |
| Aug 28, 2018 at 5:22 | comment | added | user64494 | Duplication of mathematica.stackexchange.com/questions/139305/… . | |
| Aug 27, 2018 at 22:39 | comment | added | High Performance Mark | hundreds of millions might be a slight exaggeration. | |
| Aug 27, 2018 at 22:33 | answer | added | Edmund | timeline score: 5 | |
| Aug 27, 2018 at 20:28 | comment | added | David G. Stork | You would likely need hundreds of millions of training documents in which the target names were pre-identified. A tricky task worthy of a Masters Degree thesis or a small startup company, such as the companies that parse resumes and other documents. | |
| Aug 27, 2018 at 20:24 | comment | added | ktm | What if you trained a neural network to pull names out of text? | |
| Aug 27, 2018 at 20:20 | comment | added | David G. Stork | ...and a difficult question that needs semantic document analysis for its solution. After all, suppose the name "Mark Stone" is listed. You'll never extract that name based on simple semantics as both names are standard words. You'll need to know where authors are listed on a document, that a sentence refers to a person, and so on. Much harder than the poser would imagine, I bet. | |
| Aug 27, 2018 at 20:00 | review | Close votes | |||
| Aug 31, 2018 at 7:59 | |||||
| Aug 27, 2018 at 19:39 | comment | added | Carl Lange | This is an extremely broad question - please consider adding more detail and a specific example. In the meantime, my first thought would be to split the text into words (using TextWords) and checking against some very long dataset of names that I'm sure is available on the internet somewhere. | |
| Aug 27, 2018 at 19:34 | history | asked | Liuba Orlova | CC BY-SA 4.0 |