Crowdsourcing large scale wrapper inference

By Valter Crescenzi, Paolo Merialdo, Disheng Qiu. 2014

21 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yuji Roh
2. Steven Euijong Whang
3. Geon Heo
4. Sudip Roy
5. Neoklis Polyzotis
6. Martin A. Zinkevich
7. Sergey Levine
8. Tuomas Sandholm

In Computer Science Applications

1. Geon Heo
2. Yuji Roh
3. Steven Euijong Whang

Citations in the corpus

• A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “As a result, workers may make mistakes, and there is a heavy literature [81], [82], [83], [84], [115], [149], [150] on improving the interaction with workers, evaluating workers so they”
• Data Lifecycle Challenges in Production Machine Learning (2018, background): “Crowd-sourcing frameworks like Alfred [25] help moderately skilled crowd workers in extracting knowledge from a corpus of unstructured documents.”