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11/05/2019
Metrology for AI: From Benchmarks to Instruments
In this paper we present the first steps towards hardening the science o...
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10/30/2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
The potential for learned models to amplify existing societal biases has...
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04/12/2019
A Crowdsourced Frame Disambiguation Corpus with Ambiguity
We present a resource for the task of FrameNet semantic frame disambigua...
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09/24/2018
Empirical Methodology for Crowdsourcing Ground Truth
The process of gathering ground truth data through human annotation is a...
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09/03/2018
Crowdsourcing Semantic Label Propagation in Relation Classification
Distant supervision is a popular method for performing relation extracti...
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08/18/2018
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement
Typically crowdsourcing-based approaches to gather annotated data use in...
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05/01/2018
Capturing Ambiguity in Crowdsourcing Frame Disambiguation
FrameNet is a computational linguistics resource composed of semantic fr...
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11/14/2017
False Positive and Cross-relation Signals in Distant Supervision Data
Distant supervision (DS) is a well-established method for relation extra...
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01/09/2017