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XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
EmilyÖhman, MarcPàmies, KaislaKajava....
Published date-11/03/2020
SentimentAnalysis
We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 30 additional languages, providing new …
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
RajatSharma, NikhilReddy, VidhyaKamakshi....
Published date-11/03/2020
The paper introduces a novel framework for extracting model-agnostic human interpretable rules to explain a classifier's output. The human interpretable rule is defined as an axis-aligned hyper-cuboid containing the instance …
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
WayneXinZhao, ShanleiMu, YupengHou....
Published date-11/03/2020
RecommendationSystems
In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to neural network algorithms. However, the concerns about how to standardize …
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
JoshuaMelton, ArunkumarBagavathi, SiddharthKrishnan....
Published date-11/03/2020
HateSpeechDetection, TransferLearning
Online hate speech on social media has become a fast-growing problem in recent times. Nefarious groups have developed large content delivery networks across several main-stream (Twitter and Facebook) and fringe …
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
AndreasvanCranenburgh, CorinaKoolen....
Published date-11/03/2020
It is an open question to what extent perceptions of literary quality are derived from text-intrinsic versus social factors. While supervised models can predict literary quality ratings from textual factors …
Minimax Pareto Fairness: A Multi Objective Perspective
NataliaMartinez, MartinBertran, GuillermoSapiro....
Published date-11/03/2020
fairness
In this work we formulate and formally characterize group fairness as a multi-objective optimization problem, where each sensitive group risk is a separate objective. We propose a fairness criterion where …