CoRefi: A Crowd Sourcing Suite for Coreference Annotation
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
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CoRefi：用于共指注释的众包套件
DOI：
10.18653/v1/2020.emnlp-demos.27
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Ido Dagan
中科院分区：
文献类型：
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作者：
A. Bornstein;Arie Cattan;Ido Dagan
核心注释是一项重要但昂贵且耗时的任务，它通常涉及接受复杂决策指南培训的专家注释者。为了实现更便宜，更有效的注释，我们提出了CoreFI，这是一个基于Web的核心注释套件，以众包为导向。除了核心核心注释工具之外，CoreFI还为任务提供了有指导的入职，以及用于审查阶段的新颖算法。 CoreFI是开源的，直接嵌入到任何网站，包括流行的众包平台。 CoreFI演示：aka.ms/corefi视频旅行：aka.ms/corefivideo github repo：https：//github.com/aribornstein/aribornstein/corefi
Coreference annotation is an important, yet expensive and time consuming, task, which often involved expert annotators trained on complex decision guidelines. To enable cheaper and more efficient annotation, we present CoRefi, a web-based coreference annotation suite, oriented for crowdsourcing. Beyond the core coreference annotation tool, CoRefi provides guided onboarding for the task as well as a novel algorithm for a reviewing phase. CoRefi is open source and directly embeds into any website, including popular crowdsourcing platforms. CoRefi Demo: aka.ms/corefi Video Tour: aka.ms/corefivideo Github Repo: https://github.com/aribornstein/corefi