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How can you improve the accuracy of information extracted using UiPath Document Understanding ML Extractor?
31 comments · newest first
AL
Alesia
6 months ago
A and B together could really enhance the process!
MA
Mattie
6 months ago
I feel like C is the future. Retrainable models adapt well.
LA
Laurene
6 months ago
D is useful too, but it doesn’t directly improve accuracy.
JA
Janae
6 months ago
C sounds best. Machine learning improves with more data.
AL
Aliza
6 months ago
I prefer B. A visual interface helps catch errors quickly.
FL
Florinda
7 months ago
I think option A is great. Custom rules can really tailor the extraction.
EM
Emiko
7 months ago
Using ML algorithms is definitely the way to go!
EZ
Ezekiel
7 months ago
Wait, can the ML model really retrain itself?
NI
Nidia
8 months ago
Totally agree, visual verification is key!
TE
Tegan
8 months ago
Ah, the age-old battle between man and machine. I'll take the visual interface, thank you very much.
AD
Adelina
8 months ago
I'm feeling option C. Retrainable models are the future, my friends.
GE
German
8 months ago
D, really? A document repository? That's like putting lipstick on a pig.
WE
Wendell
8 months ago
A custom extraction rule? Sounds like a lot of work, but could be worth it.
ST
Stephen
8 months ago
C is the way to go, baby! Gotta love that machine learning magic.
PA
Pamella
9 months ago
I’m not convinced about option D; it seems more about organization than improving extraction accuracy, but I could be wrong.
KE
Kerrie
9 months ago
I’m leaning towards option B because having a visual interface for verification seems crucial, but I wonder if it’s enough on its own.
BE
Bettye
9 months ago
I remember practicing a question about custom rules, so I feel like option A could also be a valid choice for improving accuracy.
MI
Micaela
9 months ago
I feel pretty confident about this one. The ability to retrain the ML model is definitely the best way to continuously enhance the extraction accuracy. B and A are helpful features, but C is the core functionality needed.
DE
Deja
9 months ago
C seems like the most comprehensive solution. Allowing the model to learn and improve over time is key for maintaining high accuracy, especially for complex documents.
JU
Justa
9 months ago
I'm a bit confused on this one. I know the ML Extractor is supposed to be pretty accurate, but I'm not sure how the different options would impact that. I'll have to think it through more.
ME
Melvin
10 months ago
Custom extraction rules can really help!
VA
Vannessa
10 months ago
The visual interface for manual verification sounds like a game-changer! I'm all about that.
TR
Trina
10 months ago
I think option C makes sense since machine learning models can improve with more data, but I'm not entirely sure how retraining works in this context.
TH
Theron
10 months ago
A central repository is useful, but not a direct accuracy boost.
IL
Iluminada
11 months ago
Hmm, I'm not sure. I was thinking B might be a good option too, having a visual interface to verify the extracted info could help catch any mistakes.
BA
Barrett
11 months ago
I think the answer is C. The question is asking about improving accuracy, and using machine learning to improve over time seems like the best approach.
AR
Argelia
5 months ago
C is the future! We need to leverage ML effectively.
JA
Jamal
5 months ago
C seems right, but I wonder if D has any impact.
RE
Renea
5 months ago
A and B are good too, but C is the best choice.
HU
Hui
6 months ago
Definitely! Continuous improvement is essential.
AB
Abraham
10 months ago
I agree, C makes the most sense. Machine learning is key for accuracy.