Gregor Wiedemann

Orcid: 0000-0002-4239-295X

According to our database1, Gregor Wiedemann authored at least 34 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine.
CoRR, 2023

2022
A Generalized Approach to Protest Event Detection in German Local News.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

More Like This: Semantic Retrieval with Linguistic Information.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

Boundary Detection and Categorization of Argument Aspects via Supervised Learning.
Proceedings of the 9th Workshop on Argument Mining, 2022

2021
Multi-modal page stream segmentation with convolutional neural networks.
Lang. Resour. Evaluation, 2021

Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences.
CoRR, 2021

On Classifying whether Two Texts are on the Same Side of an Argument.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Forum 4.0: An Open-Source User Comment Analysis Framework.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020
The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments.
Datenbank-Spektrum, 2020

UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection.
CoRR, 2020

UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings.
Proceedings of the 15th Conference on Natural Language Processing, 2019

Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Topics and topical phases in German social media communication during a disaster.
Nat. Lang. Eng., 2018

Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter.
CoRR, 2018

New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism.
Proceedings of the Social Informatics, 2018

Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF.
Proceedings of the 14th Conference on Natural Language Processing, 2018

A Multilingual Information Extraction Pipeline for Investigative Journalism.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries.
CoRR, 2017

Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis.
CoRR, 2017

Modeling the dynamics of domain specific terminology in diachronic corpora.
CoRR, 2017

Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R.
Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH) 2017, 2017

2016
Integrating text mining into qualitative data analysis for social sciences.
PhD thesis, 2016

Fachwissenschaftliche Nutzungsszenarien der CLARIN-D Infrastruktur.
Proceedings of the 3. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2016


2015
Content Analysis between Quality and Quantity - Fulfilling Blended-Reading Requirements for the Social Sciences with a Scalable Text Mining Infrastructure.
Datenbank-Spektrum, 2015

2014
Creating dictionaries for argument identification by reference data.
Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014

Post-Democracy and Neoliberalism.
Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014

Brauchen die Digital Humanities eine eigene Methodologie? Überlegungen zur systematischen Nutzung von Text Mining Verfahren in einem politikwissenschaftlichen Projekt.
Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014


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