Nov 11, 2020 · In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening.
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen.
There are no existing active learning methods for the multiple annotator model; thus, we compare our method against the following base- lines, testing different ...
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This paper proposes a multi-label active learning screening specific sampling technique -- objective-aware sampling -- for querying unlabelled documents for ...
Nov 11, 2020 · In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, ...
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen ...
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen ...
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Active Learning from Crowd in Document Screening. Dec 6, 2020. Speakers. EK · Evgeny Krivosheev. Speaker · 0 followers. Follow. BS · Burcu Sayin. Speaker · 0 ...
Learning from crowds, where the labels of data in- stances are collected using a crowdsourcing way, has attracted much attention during the past few.
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Jul 13, 2023 · Abstract. In this work, we show how to collect and use human feedback to improve complex models in information retrieval systems.