Michael Wiegand

According to our database, Michael Wiegand authored at least 70 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Determining sentiment views of verbal multiword expressions using linguistic features.

Michael Wiegand, Marc Schulder, Josef Ruppenhofer

Nat. Lang. Eng., 2024

2023

Editorial.

Ralf Krestel, Udo Kruschwitz, Michael Wiegand, Theo Härder

Datenbank-Spektrum, March, 2023

Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language.

Michael Wiegand, Jana Kampfmeier, Elisabeth Eder, Josef Ruppenhofer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Question of Style: A Dataset for Analyzing Formality on Different Levels.

Elisabeth Eder, Ulrike Krieg-Holz, Michael Wiegand

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection.

Andrea Galassi, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Mücahid Kutlu, Julia Maria Struß, Francesco Antici, Maram Hasanain, Juliane Köhler, Katerina Korre, Folkert Leistra, Arianna Muti, Melanie Siegel, Mehmet Deniz Türkmen, Michael Wiegand, Wajdi Zaghouani

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach.

Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

"Beste Grüße, Maria Meyer" - Pseudonymization of Privacy-Sensitive Information in Emails.

Elisabeth Eder, Michael Wiegand, Ulrike Krieg-Holz, Udo Hahn

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Biographically Relevant Tweets - a New Dataset, Linguistic Analysis and Classification Experiments.

Michael Wiegand, Rebecca Wilm, Katja Markert

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection.

Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, Juliane Köhler

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection.

Juliane Köhler, Gautam Kishore Shahi, Julia Maria Struß, Michael Wiegand, Melanie Siegel, Thomas Mandl, Mina Schütz

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Automatic generation of lexica for sentiment polarity shifters.

Marc Schulder, Michael Wiegand, Josef Ruppenhofer

Nat. Lang. Eng., 2021

Python for Linguists.

Benjamin Roth, Michael Wiegand

Comput. Linguistics, 2021

Implicitly Abusive Language - What does it actually look like and why are we not getting there?

Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments.

Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand

Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, 2021

Exploiting Emojis for Abusive Language Detection.

Michael Wiegand, Josef Ruppenhofer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Implicitly Abusive Comparisons - A New Dataset and Linguistic Analysis.

Michael Wiegand, Maja Geulig, Josef Ruppenhofer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions.

Marc Schulder, Michael Wiegand, Josef Ruppenhofer

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Doctor Who? Framing Through Names and Titles in German.

Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand, Katja Markert

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Detecting Derogatory Compounds - An Unsupervised Approach.

Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Detection of Abusive Language: the Problem of Biased Datasets.

Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Descriptive Analysis of a German Corpus Annotated with Opinion Sources and Targets.

Michael Wiegand, Leonie Lapp, Josef Ruppenhofer

Proceedings of the 15th Conference on Natural Language Processing, 2019

A Supervised Learning Approach for the Extraction of Sources and Targets from German Text.

Michael Wiegand, Margarita Chikobava, Josef Ruppenhofer

Proceedings of the 15th Conference on Natural Language Processing, 2019

Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language.

Julia Maria Struß, Melanie Siegel, Josef Ruppenhofer, Michael Wiegand, Manfred Klenner

Proceedings of the 15th Conference on Natural Language Processing, 2019

2018

Inducing a Lexicon of Abusive Words - a Feature-Based Approach.

Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, Clayton Greenberg

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Disambiguation of Verbal Shifters.

Michael Wiegand, Sylvette Loda, Josef Ruppenhofer

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Introducing a Lexicon of Verbal Polarity Shifters for English.

Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Stephanie Köser

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German.

Marc Schulder, Michael Wiegand, Josef Ruppenhofer

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Distinguishing affixoid formations from compounds.

Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm, Katja Markert

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Evaluating the morphological compositionality of polarity.

Josef Ruppenhofer, Petra Steiner, Michael Wiegand

Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features.

Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Negation Modeling for German Polarity Classification.

Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer

Proceedings of the Language Technologies for the Challenges of the Digital Age, 2017

A Survey on Hate Speech Detection using Natural Language Processing.

Anna Schmidt, Michael Wiegand

Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, 2017

2016

Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features.

Michael Wiegand, Marc Schulder, Josef Ruppenhofer

Proceedings of the NAACL HLT 2016, 2016

Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach.

Michael Wiegand, Christine Bocionek, Josef Ruppenhofer

Proceedings of the NAACL HLT 2016, 2016

2015

Detecting conditional healthiness of food items from natural language text.

Michael Wiegand, Dietrich Klakow

Lang. Resour. Evaluation, 2015

Opinion Holder and Target Extraction for Verb-based Opinion Predicates - The Problem is Not Solved.

Michael Wiegand, Marc Schulder, Josef Ruppenhofer

Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

Ordering adverbs by their scaling effect on adjective intensity.

Josef Ruppenhofer, Jasper Brandes, Petra Steiner, Michael Wiegand

Proceedings of the Recent Advances in Natural Language Processing, 2015

Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization.

Michael Wiegand, Benjamin Roth, Dietrich Klakow

Proceedings of the Natural Language Processing and Information Systems, 2015

Opinion Holder and Target Extraction based on the Induction of Verbal Categories.

Michael Wiegand, Josef Ruppenhofer

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014

Relation Extraction for the Food Domain without Labeled Training Data - Is Distant Supervision the Best Solution?

Melanie Reiplinger, Michael Wiegand, Dietrich Klakow

Proceedings of the Advances in Natural Language Processing, 2014

Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction.

Michael Wiegand, Benjamin Roth, Dietrich Klakow

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Comparing methods for deriving intensity scores for adjectives.

Josef Ruppenhofer, Michael Wiegand, Jasper Brandes

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Separating Brands from Types: an Investigation of Different Features for the Food Domain.

Michael Wiegand, Dietrich Klakow

Proceedings of the COLING 2014, 2014

2013

Bootstrapping polarity classifiers with rule-based classification.

Michael Wiegand, Manfred Klenner, Dietrich Klakow

Lang. Resour. Evaluation, 2013

Effective Slot Filling Based on Shallow Distant Supervision Methods.

Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow

Proceedings of the Sixth Text Analysis Conference, 2013

Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives.

Michael Wiegand, Josef Ruppenhofer, Dietrich Klakow

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach.

Michael Wiegand, Dietrich Klakow

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

A survey of noise reduction methods for distant supervision.

Benjamin Roth, Tassilo Barth, Michael Wiegand, Dietrich Klakow

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2012

Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012.

Benjamin Roth, Grzegorz Chrupala, Michael Wiegand, Mittul Singh, Dietrich Klakow

Proceedings of the Fifth Text Analysis Conference, 2012

Web-Based Relation Extraction for the Food Domain.

Michael Wiegand, Benjamin Roth, Dietrich Klakow

Proceedings of the Natural Language Processing and Information Systems, 2012

A Gold Standard for Relation Extraction in the Food Domain.

Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, Dietrich Klakow

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

MLSA - A Multi-layered Reference Corpus for German Sentiment Analysis.

Simon Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef Ruppenhofer, Ulli Waltinger, Michael Wiegand

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Data-driven knowledge extraction for the food domain.

Michael Wiegand, Benjamin Roth, Dietrich Klakow

Proceedings of the 11th Conference on Natural Language Processing, 2012

Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction.

Michael Wiegand, Dietrich Klakow

Proceedings of the EACL 2012, 2012

2011

Hybrid approaches for sentiment analysis.

Michael Wiegand

PhD thesis, 2011

Saarland University Spoken Language Systems Group at TAC KBP 2011.

Fang Xu, Stefan Kazalski, Grzegorz Chrupala, Benjamin Roth, Xujian Zhao, Michael Wiegand, Dietrich Klakow

Proceedings of the Fourth Text Analysis Conference, 2011

Prototypical Opinion Holders: What We can Learn from Experts and Analysts.

Michael Wiegand, Dietrich Klakow

Proceedings of the Recent Advances in Natural Language Processing, 2011

Convolution Kernels for Subjectivity Detection.

Michael Wiegand, Dietrich Klakow

Proceedings of the 18th Nordic Conference of Computational Linguistics, 2011

2010

Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010.

Grzegorz Chrupala, Saeedeh Momtazi, Michael Wiegand, Stefan Kazalski, Fang Xu, Benjamin Roth, Alexandra Balahur, Dietrich Klakow

Proceedings of the Third Text Analysis Conference, 2010

Convolution Kernels for Opinion Holder Extraction.

Michael Wiegand, Dietrich Klakow

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Predictive Features for Detecting Indefinite Polar Sentences.

Michael Wiegand, Dietrich Klakow

Proceedings of the International Conference on Language Resources and Evaluation, 2010

A survey on the role of negation in sentiment analysis.

Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo

Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010

2009

Predictive Features in Semi-Supervised Learning for Polarity Classification and the Role of Adjectives.

Michael Wiegand, Dietrich Klakow

Proceedings of the 17th Nordic Conference of Computational Linguistics, 2009

The Role of Knowledge-based Features in Polarity Classification at Sentence Level.

Michael Wiegand, Dietrich Klakow

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Topic-Related Polarity Classification of Blog Sentences.

Michael Wiegand, Dietrich Klakow

Proceedings of the Progress in Artificial Intelligence, 2009

2008

The Alyssa System at TAC QA 2008.

Michael Wiegand, Saeedeh Momtazi, Stefan Kazalski, Fang Xu, Grzegorz Chrupala, Dietrich Klakow

Proceedings of the First Text Analysis Conference, 2008

Cost-Sensitive Learning in Answer Extraction.

Michael Wiegand, Jochen L. Leidner, Dietrich Klakow

Proceedings of the International Conference on Language Resources and Evaluation, 2008

Optimizing Language Models for Polarity Classification.

Michael Wiegand, Dietrich Klakow

Proceedings of the Advances in Information Retrieval , 2008

2007

The Alyssa System at TREC QA 2007: Do We Need Blog06?

Dan Shen, Michael Wiegand, Andreas Merkel, Stefan Kazalski, Sabine Hunsicker, Jochen L. Leidner, Dietrich Klakow

Proceedings of The Sixteenth Text REtrieval Conference, 2007

Combining term-based and event-based matching for question answering.

Michael Wiegand, Jochen L. Leidner, Dietrich Klakow

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007