conftrace_
← Learning Types
Machine Learning › Learning Types ›

Crowdsourcing

18 papers

Papers per year

1
1
'15
'20

Papers

Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints ACL 2026
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024
The Empirical Variability of Narrative Perceptions of Social Media Texts EMNLP 2024
Black-Box Data Poisoning Attacks on Crowdsourcing IJCAI 2023
TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing IJCAI 2023
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract) AAAI 2022
Coreference Annotation of an Arabic Corpus using a Virtual World Game EMNLP 2022
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection EMNLP 2021
VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification INTERSPEECH 2021
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation EMNLP 2020
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019
Combining Human and Machine Transcriptions on the Zooniverse Platform EMNLP 2018
Eliciting Categorical Data for Optimal Aggregation NIPS 2016
Approval Voting and Incentives in Crowdsourcing ICML 2015
Reputation-based Worker Filtering in Crowdsourcing NIPS 2014
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013
Variational Inference for Crowdsourcing NIPS 2012
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009