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EASE 2021
(
series
) /
Vision and Emerging Results Track
/
Towards Offensive Language Detection and Reduction in Four Software Engineering Communities
Who
Jithin Cheriyan
,
Bastin Tony Roy Savarimuthu
,
Stephen Cranefield
Track
EASE 2021 Vision and Emerging Results Track
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When
Tue 22 Jun 2021 09:00 - 09:22 at
Zoom
-
Human and Methodological
Chair(s):
Nelly Condori-Fernández
Link to Preprint
https://arxiv.org/pdf/2106.02245.pdf
Jithin Cheriyan
University of Otago
New Zealand
Bastin Tony Roy Savarimuthu
University of Otago, Dunedin, New Zealand
New Zealand
Stephen Cranefield
University of Otago
Program Display Configuration
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(GMT-09:30) Marquesas Islands
(GMT-09:00) Gambier Islands
(GMT-08:00) Alaska
(GMT-07:00) Tijuana, Baja California
(GMT-08:00) Pitcairn Islands
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The GMT offsets shown reflect the offsets
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.
Time Band
By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program
Tue 22 Jun
Displayed time zone:
Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
change
09:00 - 10:30
Human and Methodological
Vision and Emerging Results Track
/
EASE 2021
at
Zoom
Chair(s):
Nelly Condori-Fernández
University of A Coruña/ Vrije Universiteit Amsterdam
09:00
22m
Vision and Emerging Results
Towards Offensive Language Detection and Reduction in Four Software Engineering Communities
Vision and Emerging Results Track
Jithin Cheriyan
University of Otago
,
Bastin Tony Roy Savarimuthu
University of Otago, Dunedin, New Zealand
,
Stephen Cranefield
University of Otago
Pre-print
09:22
23m
Full-paper
Challenges when Applying Repertory Grid Technique for Software Practices
EASE 2021
Diana Kirk
The University of Auckland
,
Kelly Blincoe
University of Auckland
Pre-print
09:45
22m
Full-paper
Development and Application of Sentiment Analysis Tools in Software Engineering: A Systematic Literature Review
EASE 2021
A:
Martin Obaidi
Leibniz Universität Hannover
,
Jil Klünder
Leibniz Universität Hannover
Pre-print
10:07
23m
Vision and Emerging Results
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
Vision and Emerging Results Track
Phuong T. Nguyen
University of L’Aquila
,
Davide Di Ruscio
University of L'Aquila
,
Juri Di Rocco
University of L'Aquila
,
Claudio Di Sipio
University of L'Aquila
,
Massimiliano Di Penta
University of Sannio, Italy
Pre-print
x
Tue 19 Nov 01:34