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Michael Wiegand
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2020 – today
- 2024
- [j6]Michael Wiegand
, Marc Schulder
, Josef Ruppenhofer:
Determining sentiment views of verbal multiword expressions using linguistic features. Nat. Lang. Eng. 30(2): 256-293 (2024) - [c59]Julia Maria Struß, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Dimitar Dimitrov, Andrea Galassi, Georgi Pachov, Ivan Koychev, Preslav Nakov, Melanie Siegel, Michael Wiegand, Maram Hasanain, Reem Suwaileh, Wajdi Zaghouani:
Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles. CLEF (Working Notes) 2024: 287-298 - 2023
- [j5]Ralf Krestel, Udo Kruschwitz, Michael Wiegand, Theo Härder:
Editorial. Datenbank-Spektrum 23(1): 1-3 (2023) - [c58]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:
Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection. CLEF (Working Notes) 2023: 236-249 - [c57]Elisabeth Eder, Ulrike Krieg-Holz, Michael Wiegand
:
A Question of Style: A Dataset for Analyzing Formality on Different Levels. EACL (Findings) 2023: 568-581 - [c56]Michael Wiegand
, Jana Kampfmeier, Elisabeth Eder, Josef Ruppenhofer:
Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language. EMNLP 2023: 16280-16297 - 2022
- [c55]Juliane Köhler, Gautam Kishore Shahi, Julia Maria Struß, Michael Wiegand, Melanie Siegel, Thomas Mandl, Mina Schütz
:
Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection. CLEF (Working Notes) 2022: 404-421 - [c54]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:
Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. CLEF 2022: 495-520 - [c53]Michael Wiegand
, Rebecca Wilm
, Katja Markert:
Biographically Relevant Tweets - a New Dataset, Linguistic Analysis and Classification Experiments. COLING 2022: 3669-3679 - [c52]Elisabeth Eder, Michael Wiegand
, Ulrike Krieg-Holz, Udo Hahn:
"Beste Grüße, Maria Meyer" - Pseudonymization of Privacy-Sensitive Information in Emails. LREC 2022: 741-752 - [c51]Michael Wiegand
, Elisabeth Eder, Josef Ruppenhofer:
Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach. NAACL-HLT 2022: 5600-5612 - 2021
- [j4]Benjamin Roth, Michael Wiegand
:
Python for Linguists. Comput. Linguistics 47(1): 217-220 (2021) - [j3]Marc Schulder
, Michael Wiegand
, Josef Ruppenhofer:
Automatic generation of lexica for sentiment polarity shifters. Nat. Lang. Eng. 27(2): 153-179 (2021) - [c50]Michael Wiegand, Maja Geulig, Josef Ruppenhofer:
Implicitly Abusive Comparisons - A New Dataset and Linguistic Analysis. EACL 2021: 358-368 - [c49]Michael Wiegand, Josef Ruppenhofer:
Exploiting Emojis for Abusive Language Detection. EACL 2021: 369-380 - [c48]Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand
:
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. GermEval@KONVENS 2021: 1-12 - [c47]Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder:
Implicitly Abusive Language - What does it actually look like and why are we not getting there? NAACL-HLT 2021: 576-587 - [e1]Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand:
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, GermEval@KONVENS 2021, Düsseldorf, Germany, September 6, 2021. Association for Computational Linguistics 2021 [contents] - 2020
- [c46]Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand, Katja Markert:
Doctor Who? Framing Through Names and Titles in German. LREC 2020: 4924-4932 - [c45]Marc Schulder, Michael Wiegand, Josef Ruppenhofer:
Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions. LREC 2020: 5010-5016
2010 – 2019
- 2019
- [c44]Julia Maria Struß, Melanie Siegel, Josef Ruppenhofer, Michael Wiegand, Manfred Klenner:
Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language. KONVENS 2019 - [c43]Michael Wiegand, Margarita Chikobava, Josef Ruppenhofer:
A Supervised Learning Approach for the Extraction of Sources and Targets from German Text. KONVENS 2019 - [c42]Michael Wiegand, Leonie Lapp, Josef Ruppenhofer:
A Descriptive Analysis of a German Corpus Annotated with Opinion Sources and Targets. KONVENS 2019 - [c41]Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer:
Detection of Abusive Language: the Problem of Biased Datasets. NAACL-HLT (1) 2019: 602-608 - [c40]Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer:
Detecting Derogatory Compounds - An Unsupervised Approach. NAACL-HLT (1) 2019: 2076-2081 - 2018
- [c39]Marc Schulder, Michael Wiegand, Josef Ruppenhofer:
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German. COLING 2018: 2516-2528 - [c38]Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm, Katja Markert:
Distinguishing affixoid formations from compounds. COLING 2018: 3853-3865 - [c37]Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Stephanie Köser:
Introducing a Lexicon of Verbal Polarity Shifters for English. LREC 2018 - [c36]Michael Wiegand, Sylvette Loda, Josef Ruppenhofer:
Disambiguation of Verbal Shifters. LREC 2018 - [c35]Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, Clayton Greenberg:
Inducing a Lexicon of Abusive Words - a Feature-Based Approach. NAACL-HLT 2018: 1046-1056 - 2017
- [c34]Anna Schmidt, Michael Wiegand:
A Survey on Hate Speech Detection using Natural Language Processing. SocialNLP@EACL 2017: 1-10 - [c33]Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer:
Negation Modeling for German Polarity Classification. GSCL 2017: 95-111 - [c32]Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth:
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features. IJCNLP(1) 2017: 624-633 - [c31]Josef Ruppenhofer, Petra Steiner, Michael Wiegand:
Evaluating the morphological compositionality of polarity. RANLP 2017: 625-633 - 2016
- [c30]Michael Wiegand, Marc Schulder
, Josef Ruppenhofer:
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features. HLT-NAACL 2016: 778-788 - [c29]Michael Wiegand, Christine Bocionek, Josef Ruppenhofer:
Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach. HLT-NAACL 2016: 800-810 - 2015
- [j2]Michael Wiegand
, Dietrich Klakow:
Detecting conditional healthiness of food items from natural language text. Lang. Resour. Evaluation 49(4): 777-830 (2015) - [c28]Michael Wiegand, Josef Ruppenhofer:
Opinion Holder and Target Extraction based on the Induction of Verbal Categories. CoNLL 2015: 215-225 - [c27]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. NLDB 2015: 64-72 - [c26]Josef Ruppenhofer, Jasper Brandes, Petra Steiner, Michael Wiegand:
Ordering adverbs by their scaling effect on adjective intensity. RANLP 2015: 545-554 - [c25]Michael Wiegand, Marc Schulder
, Josef Ruppenhofer:
Opinion Holder and Target Extraction for Verb-based Opinion Predicates - The Problem is Not Solved. WASSA@EMNLP 2015: 148-155 - 2014
- [c24]Michael Wiegand, Dietrich Klakow:
Separating Brands from Types: an Investigation of Different Features for the Food Domain. COLING 2014: 2291-2302 - [c23]Josef Ruppenhofer, Michael Wiegand, Jasper Brandes:
Comparing methods for deriving intensity scores for adjectives. EACL 2014: 117-122 - [c22]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction. EACL 2014: 673-682 - [c21]Melanie Reiplinger, Michael Wiegand, Dietrich Klakow:
Relation Extraction for the Food Domain without Labeled Training Data - Is Distant Supervision the Best Solution? PolTAL 2014: 345-357 - [i6]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. CoRR abs/1401.1158 (2014) - 2013
- [j1]Michael Wiegand, Manfred Klenner, Dietrich Klakow:
Bootstrapping polarity classifiers with rule-based classification. Lang. Resour. Evaluation 47(4): 1049-1088 (2013) - [c20]Benjamin Roth, Tassilo Barth, Michael Wiegand
, Dietrich Klakow:
A survey of noise reduction methods for distant supervision. AKBC@CIKM 2013: 73-78 - [c19]Michael Wiegand, Dietrich Klakow:
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach. IJCNLP 2013: 19-27 - [c18]Michael Wiegand, Josef Ruppenhofer, Dietrich Klakow:
Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives. HLT-NAACL 2013: 534-539 - [i5]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. TAC 2013 - 2012
- [c17]Michael Wiegand, Dietrich Klakow:
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction. EACL 2012: 325-335 - [c16]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Data-driven knowledge extraction for the food domain. KONVENS 2012: 21-29 - [c15]Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, Dietrich Klakow:
A Gold Standard for Relation Extraction in the Food Domain. LREC 2012: 507-514 - [c14]Simon Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef Ruppenhofer, Ulli Waltinger, Michael Wiegand:
MLSA - A Multi-layered Reference Corpus for German Sentiment Analysis. LREC 2012: 3551-3556 - [c13]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Web-Based Relation Extraction for the Food Domain. NLDB 2012: 222-227 - [i4]Benjamin Roth, Grzegorz Chrupala, Michael Wiegand
, Mittul Singh, Dietrich Klakow:
Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012. TAC 2012 - 2011
- [b1]Michael Wiegand:
Hybrid approaches for sentiment analysis. Saarland University, 2011 - [c12]Michael Wiegand, Dietrich Klakow:
Convolution Kernels for Subjectivity Detection. NODALIDA 2011: 254-261 - [c11]Michael Wiegand, Dietrich Klakow:
Prototypical Opinion Holders: What We can Learn from Experts and Analysts. RANLP 2011: 282-288 - [i3]Fang Xu, Stefan Kazalski, Grzegorz Chrupala, Benjamin Roth, Xujian Zhao, Michael Wiegand, Dietrich Klakow:
Saarland University Spoken Language Systems Group at TAC KBP 2011. TAC 2011 - 2010
- [c10]Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo:
A survey on the role of negation in sentiment analysis. NeSp-NLP@ACL 2010: 60-68 - [c9]Michael Wiegand, Dietrich Klakow:
Predictive Features for Detecting Indefinite Polar Sentences. LREC 2010 - [c8]Michael Wiegand, Dietrich Klakow:
Convolution Kernels for Opinion Holder Extraction. HLT-NAACL 2010: 795-803 - [i2]Grzegorz Chrupala, Saeedeh Momtazi, Michael Wiegand, Stefan Kazalski, Fang Xu, Benjamin Roth, Alexandra Balahur, Dietrich Klakow:
Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010. TAC 2010
2000 – 2009
- 2009
- [c7]Michael Wiegand, Dietrich Klakow:
Topic-Related Polarity Classification of Blog Sentences. EPIA 2009: 658-669 - [c6]Michael Wiegand, Dietrich Klakow:
The Role of Knowledge-based Features in Polarity Classification at Sentence Level. FLAIRS 2009 - [c5]Michael Wiegand, Dietrich Klakow:
Predictive Features in Semi-Supervised Learning for Polarity Classification and the Role of Adjectives. NODALIDA 2009: 198-205 - 2008
- [c4]Michael Wiegand, Dietrich Klakow:
Optimizing Language Models for Polarity Classification. ECIR 2008: 612-616 - [c3]Michael Wiegand, Jochen L. Leidner, Dietrich Klakow:
Cost-Sensitive Learning in Answer Extraction. LREC 2008 - [i1]Michael Wiegand, Saeedeh Momtazi, Stefan Kazalski, Fang Xu, Grzegorz Chrupala, Dietrich Klakow:
The Alyssa System at TAC QA 2008. TAC 2008 - 2007
- [c2]Michael Wiegand, Jochen L. Leidner
, Dietrich Klakow:
Combining term-based and event-based matching for question answering. SIGIR 2007: 715-716 - [c1]Dan Shen, Michael Wiegand, Andreas Merkel, Stefan Kazalski, Sabine Hunsicker, Jochen L. Leidner, Dietrich Klakow:
The Alyssa System at TREC QA 2007: Do We Need Blog06? TREC 2007
Coauthor Index
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last updated on 2024-08-22 20:48 CEST by the dblp team
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