Josef Ruppenhofer
30 papers · 2008–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Natural Language Processing
(11)
Core Methods
(10)
Applications
(8)
Interdisciplinary
(5)
Learning Types
(4)
Linguistics
(4)
Understanding
(4)
Resources & Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Application Areas
(2)
Core AI
(2)
Cognitive Science
(1)
Generation
(1)
Keywords
text classification
(11)
abusive language detection
(9)
sentiment analysis
(6)
implicit abuse
(4)
identity group
(3)
hate speech detection
(3)
lexicon induction
(2)
generative model
(2)
active learning
(2)
verb placement
(2)
german language
(2)
linguistic feature
(2)
second language acquisition
(2)
polarity shifter
(2)
offensive language detection
(1)
dependency parsing
(1)
stance detection
(1)
universal dependencies
(1)
bayesian inference
(1)
named entity recognition
(1)
Papers
The Relevance of Value Systems for Offensive Language Detection
EACL 2026
Beyond Negative Stereotypes β Non-Negative Abusive Utterances about Identity Groups and Their Semantic Variants
ACL 2025
Where itβs at: Annotating Verb Placement Types in Learner Language
ACL 2025
Every Verb in Its Right Place? A Roadmap for Operationalizing Developmental Stages in the Acquisition of L2 German
COLING 2024
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm
EMNLP 2024
Out of the Mouths of MPs: Speaker Attribution in Parliamentary Debates
COLING 2024
Euphemistic Abuse β A New Dataset and Classification Experiments for Implicitly Abusive Language
EMNLP 2023
Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach
NAACL 2022
Exploiting Emojis for Abusive Language Detection
EACL 2021
Implicitly Abusive Comparisons β A New Dataset and Linguistic Analysis
EACL 2021
Implicitly Abusive Language β What does it actually look like and why are we not getting there?
NAACL 2021
Iβve got a construction looks funny β representing and recovering non-standard constructions in UD
COLING 2020
Detecting Derogatory Compounds β An Unsupervised Approach
NAACL 2019
Detection of Abusive Language: the Problem of Biased Datasets
NAACL 2019
Not My President: How Names and Titles Frame Political Figures
NAACL 2019
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German
COLING 2018
Distinguishing affixoid formations from compounds
COLING 2018
Inducing a Lexicon of Abusive Words β a Feature-Based Approach
NAACL 2018
Sprucing up the trees β Error detection in treebanks
COLING 2018
Detecting annotation noise in automatically labelled data
ACL 2017
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
IJCNLP 2017
Opinion Holder and Target Extraction on Opinion Compounds β A Linguistic Approach
NAACL 2016
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
NAACL 2016
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
CoNLL 2015
Comparing methods for deriving intensity scores for adjectives
EACL 2014
Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives
NAACL 2013
Evaluating the Impact of Coder Errors on Active Learning
ACL 2011
Bringing Active Learning to Life
COLING 2010
SemEval-2010 Task 10: Linking Events and Their Participants in Discourse
SemEval 2010
Discourse Level Opinion Interpretation
COLING 2008