Michael Wiegand
31 papers · 2010–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (15) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(15)
🤝
Dynamic Duo
(19)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(80)
⚡
Prolific Year
(5)
❓
The Questioner
(3)
🔥
Unstoppable
(8)
💎
Century Club
(30)
Conferences
NAACL (10)
EACL (7)
COLING (5)
IJCNLP (3)
ACL (2)
EMNLP (2)
AACL (1)
CONLL (1)
Top co-authors
Keywords
text classification
(12)
abusive language detection
(9)
sentiment analysis
(7)
implicit abuse
(4)
hate speech detection
(3)
identity group
(3)
lexicon induction
(2)
social media analysis
(2)
relation extraction
(2)
in-context learning
(2)
natural language processing
(2)
polarity shifter
(2)
zero-shot learning
(2)
few-shot learning
(2)
cross-dataset generalization
(2)
linguistic feature
(2)
named entity recognition
(1)
stance detection
(1)
content moderation
(1)
tweet analysis
(1)
Papers
The Relevance of Value Systems for Offensive Language Detection
EACL 2026
Beyond Negative Stereotypes – Non-Negative Abusive Utterances about Identity Groups and Their Semantic Variants
ACL 2025
Understanding Disagreement: An Annotation Study of Sentiment and Emotional Language in Environmental Communication
ACL 2025
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
AACL 2025
Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings
COLING 2025
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
IJCNLP 2025
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm
EMNLP 2024
A Question of Style: A Dataset for Analyzing Formality on Different Levels
EACL 2023
Euphemistic Abuse – 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
Biographically Relevant Tweets – a New Dataset, Linguistic Analysis and Classification Experiments
COLING 2022
Exploiting Emojis for Abusive Language Detection
EACL 2021
Implicitly Abusive Comparisons – A New Dataset and Linguistic Analysis
EACL 2021
Implicitly Abusive Language – What does it actually look like and why are we not getting there?
NAACL 2021
Detecting Derogatory Compounds – An Unsupervised Approach
NAACL 2019
Not My President: How Names and Titles Frame Political Figures
NAACL 2019
Detection of Abusive Language: the Problem of Biased Datasets
NAACL 2019
Distinguishing affixoid formations from compounds
COLING 2018
Inducing a Lexicon of Abusive Words – a Feature-Based Approach
NAACL 2018
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German
COLING 2018
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
IJCNLP 2017
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
NAACL 2016
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
NAACL 2016
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
CONLL 2015
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
EACL 2014
Separating Brands from Types: an Investigation of Different Features for the Food Domain
COLING 2014
Comparing methods for deriving intensity scores for adjectives
EACL 2014
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach
IJCNLP 2013
Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives
NAACL 2013
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
EACL 2012
Convolution Kernels for Opinion Holder Extraction
NAACL 2010