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Users can provide their updates in an intuitive way without requiring expertise about the knowledge already contained in the graph. The approach guarantees the ...
Sep 27, 2018 · In this blog post, we introduce a novel crowdsourcing approach to extend general-purpose knowledge graphs based on a human-in-the-loop model.
... 2169/paper-01⫸Vol-2169/paper-02. Albin Ahmeti Artem Revenko Marta Sabou Martin Schauer Víctor Mireles. Crowd-sourcing Updates of Large Knowledge Graphs.
CrowdSourcing of Large Knowledge Graphs. CrowdSourcing of Large Knowledge Graphs. No Comments. Leave A Comment. What's your name? What's your email address?
Jul 9, 2024 · This work collected 28 papers outlining methods for KG-powered LLMs, LLM-based KGs, and LLM-KG hybrid approaches.
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May 12, 2024 · By incorporating knowledge graphs into large language models, we can enhance their factual knowledge and reasoning capabilities.
When providing the update and upon submission the crowdworkers obtain intuitive color-coded feedback on their input w.r.t. con- sistency and discrepancies with ...
Abstract: This paper presents a method for building a knowledge graph using crowdsourcing. The collection and ver- ification of pieces of knowledge are ...
This paper introduces a novel crowd-sourcing approach that allows the crowdworkers to provide their update in a simplistic intuitive form without having the ...
Nov 11, 2022 · We develop CrowdGraph, a crowdsourcing based multi-modal knowledge graph approach to address the explainable fauxtography detection problem.