331 citations · 557 across the 12 of their papers we have counts for
16 papers
Identifying gender bias in blockbuster movies through the lens of machine learning
Muhammad Junaid Haris, Aanchal Upreti, Melih Kurtaran +3
The problem of gender bias is highly prevalent and well known. In this paper, we have analysed the portrayal of gender roles in English movies, a medium that effectively influences…
Out-of-Domain Evaluation of Finnish Dependency Parsing
Jenna Kanerva, Filip Ginter
The prevailing practice in the academia is to evaluate the model performance on in-domain evaluation data typically set aside from the training corpus. However, in many real world…
Explaining Classes through Word Attribution
Samuel Rönnqvist, Amanda Myntti, Aki-Juhani Kyröläinen +3
In recent years, several methods have been proposed for explaining individual predictions of deep learning models, yet there has been little study of how to aggregate these predict…
Annotation Guidelines for the Turku Paraphrase Corpus
Jenna Kanerva, Filip Ginter, Li-Hsin Chang +8
This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus. These guidelines were developed together with the corpus annotation, revising and e…
Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
Li-Hsin Chang, Sampo Pyysalo, Jenna Kanerva +1
In this paper, we present a quantitative evaluation of differences between alternative translations in a large recently released Finnish paraphrase corpus focusing in particular on…
Deep learning for sentence clustering in essay grading support
Li-Hsin Chang, Iiro Rastas, Sampo Pyysalo +1
Essays as a form of assessment test student knowledge on a deeper level than short answer and multiple-choice questions. However, the manual evaluation of essays is time- and labor…