Errata for "Crowdsourcing Algorithms for Entity Resolution" (PVLDB 7(12): 1071-1082)

نویسندگان

  • Norases Vesdapunt
  • Kedar Bellare
  • Nilesh N. Dalvi
چکیده

Recall #Questions dec rand node Figure 1: Corrected Figure 12(b): #Questions vs Recall for Places We discovered that there was a duplicate figure in our paper. We accidentally put Figure 13(b) for Figure 12(b). We have provided the correct Figure 12(b) above (See Figure 1). Figure 1 plots the recall of various strategies as a function of the number of questions asked for Places dataset. There was no error in the discussion in our paper (See Section 6.2.1 in our paper for more details). Obtain permission prior to any use beyond those covered by the license. Contact copyright holder by emailing [email protected]. Articles from this volume were invited to present their results at

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Question Selection for Crowd Entity Resolution

We study the problem of enhancing Entity Resolution (ER) with the help of crowdsourcing. ER is the problem of clustering records that refer to the same real-world entity and can be an extremely di cult process for computer algorithms alone. For example, figuring out which images refer to the same person can be a hard task for computers, but an easy one for humans. We study the problem of resolv...

متن کامل

Truth Inference in Crowdsourcing: Is the Problem Solved?

Crowdsourcing has emerged as a novel problem-solving paradigm, which facilitates addressing problems that are hard for computers, e.g., entity resolution and sentiment analysis. However, due to the openness of crowdsourcing, workers may yield low-quality answers, and a redundancy-based method is widely employed, which first assigns each task to multiple workers and then infers the correct answe...

متن کامل

Crowdsourcing Algorithms for Entity Resolution

In this paper, we study a hybrid human-machine approach for solving the problem of Entity Resolution (ER). The goal of ER is to identify all records in a database that refer to the same underlying entity, and are therefore duplicates of each other. Our input is a graph over all the records in a database, where each edge has a probability denoting our prior belief (based on Machine Learning mode...

متن کامل

Collaborative Crowdsourcing with Crowd4U

Collaborative crowdsourcing is an emerging paradigm where a set of workers, often with diverse and complementary skills, form groups and work together to complete complex tasks. While crowdsourcing has been used successfully in many applications, collaboration is essential for achieving a high quality outcome for a number of emerging applications such as text translation, citizen journalism and...

متن کامل

CrowdER: Crowdsourcing Entity Resolution

Entity resolution is central to data integration and data cleaning. Algorithmic approaches have been improving in quality, but remain far from perfect. Crowdsourcing platforms offer a more accurate but expensive (and slow) way to bring human insight into the process. Previous work has proposed batching verification tasks for presentation to human workers but even with batching, a human-only app...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • PVLDB

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2015