Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Maximilian Mozes"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The introduction of COVID-19 lockdown measures and an outlook on return to normality are demanding societal changes. Among the most pressing questions is how individuals adjust to the pandemic. This paper examines the emotional responses to
Externí odkaz:
https://doaj.org/article/bc62ffe30fdc416782841ba63b79d2e7
Publikováno v:
Journal of Computational Social Science, 4. Springer Nature
Journal of Computational Social Science
Journal of Computational Social Science, 4(1), 333-354. Springer Nature
Journal of Computational Social Science
Journal of Computational Social Science, 4(1), 333-354. Springer Nature
The media frequently describes the 2017 Charlottesville 'Unite the Right' rally as a turning point for the alt-right and white supremacist movements. Social movement theory suggests that the media attention and public discourse concerning the rally m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2cd563b07e757b199e69b07dcc65c88
https://research.tilburguniversity.edu/en/publications/92dd87ba-8ad6-4c7b-8bcd-6fd043eb1297
https://research.tilburguniversity.edu/en/publications/92dd87ba-8ad6-4c7b-8bcd-6fd043eb1297
Publikováno v:
Journal of Computational Social Science. 4:921-923
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b4f5008ec21ffd93eb9d3a461f0de8
https://doi.org/10.1007/s42001-020-00099-0
https://doi.org/10.1007/s42001-020-00099-0
Research shows that natural language processing models are generally considered to be vulnerable to adversarial attacks; but recent work has drawn attention to the issue of validating these adversarial inputs against certain criteria (e.g., the prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abbc3007747c6ba3d9be56423e968d78
Publikováno v:
EACL
Recent efforts have shown that neural text processing models are vulnerable to adversarial examples, but the nature of these examples is poorly understood. In this work, we show that adversarial attacks against CNN, LSTM and Transformer-based classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136fa1d803ff9e0afc13d4f790d29d75
https://doi.org/10.18653/v1/2021.eacl-main.13
https://doi.org/10.18653/v1/2021.eacl-main.13
Publikováno v:
Behavior Research Methods
Behavior Research Methods, 53. Springer Nature
Behavior Research Methods, 53(5), 2105-2119. Springer
Behavior Research Methods, 53. Springer Nature
Behavior Research Methods, 53(5), 2105-2119. Springer
This paper introduces the Grievance Dictionary, a psycholinguistic dictionary which can be used to automatically understand language use in the context of grievance-fuelled violence threat assessment. We describe the development the dictionary, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ed94e7afff573420fb551ceeee75d0
http://arxiv.org/abs/2009.04798
http://arxiv.org/abs/2009.04798
Publikováno v:
Journal of Forensic Sciences, 63(3), 714-723. Wiley
Journal of Forensic Sciences, 63(3), 714-723. Wiley-Blackwell
Journal of Forensic Sciences, 63(3), 714-723. Wiley-Blackwell
There is an increasing demand for automated verbal deception detection systems. We propose named entity recognition (NER; i.e., the automatic identification and extraction of information from text) to model three established theoretical principles: (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6e8734f854e397741089bca7cc61424
https://doi.org/10.1111/1556-4029.13645
https://doi.org/10.1111/1556-4029.13645
Autor:
Maximilian Mozes, Mykola Makhortykh, Bennett Kleinberg, Isabelle van der Vegt, Justin Chun-ting Ho, Felix Soldner
Publikováno v:
Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science.
News consumption exhibits an increasing shift towards online sources, which bring platforms such as YouTube more into focus. Thus, the distribution of politically loaded news is easier, receives more attention, but also raises the concern of forming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687bdb57d7546cadb8e7724ad2f2807d
https://doi.org/10.18653/v1/w19-2110
https://doi.org/10.18653/v1/w19-2110
Autor:
Bennett Kleinberg, Maximilian Mozes
Publikováno v:
The Journal of Open Source Software, 2(14):293
Netanos (Named Entity-based Text ANonymization for Open Science) is a natural language processing software that anonymizes texts by identifying and replacing named entities.The key feature of NETANOS is that the anonymization preserves critical conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d886532e654971f762213b17ebdbeaee
https://doi.org/10.21105/joss.00293
https://doi.org/10.21105/joss.00293