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Found 4 papers, 2 papers with code
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
Given the high cost of annotating language-specific fact-checking training data, our solution builds on the Question Answering for Claim Generation (QACG) method, which we adapt and use to generate the data for all models of the pipeline.
CsFEVER and CTKFacts: Acquiring Czech data for fact verification
We attempt to collect sets of data in form of a factual claim, evidence within the ground truth corpus, and its veracity label (supported, refuted or not enough info).
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours with Dubins vehicle
We address the computationally challenging DTSP by fast evaluation of the sequence of visits by the proposed Windowing Surrogate Model (WiSM) which estimates the length of the optimal Dubins path connecting a sequence of locations in a Dubins tour.
Liftago On-Demand Transport Dataset and Market Formation Algorithm Based on Machine Learning
This document serves as a technical report for the analysis of on-demand transport dataset.
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