Search Results for author:
Found 5 papers, 1 papers with code
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
In this paper, we analyze the effect on fairness in the context of graph data (node attributes) imputation using different embedding and neural network methods.
Using Crowdsourced Exercises for Vocabulary Training to Expand ConceptNet
In this work, we report on a crowdsourcing experiment conducted using the V-TREL vocabulary trainer which is accessed via a Telegram chatbot interface to gather knowledge on word relations suitable for expanding ConceptNet.
Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning
We introduce in this paper a generic approach to combine implicit crowdsourcing and language learning in order to mass-produce language resources (LRs) for any language for which a crowd of language learners can be involved.
Efficient Data Analytics on Augmented Similarity Triplets
Data analysis require a pairwise proximity measure over objects.
v-trel: Vocabulary Trainer for Tracing Word Relations - An Implicit Crowdsourcing Approach
In this paper, we present our work on developing a vocabulary trainer that uses exercises generated from language resources such as ConceptNet and crowdsources the responses of the learners to enrich the language resource.
