• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 2024
• 
  Mattes Ruckdeschel, Ringo Baumann, Gregor Wiedemann:
  Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining. RATIO 2024: 39-56
• 2023
• 
  Gregor Widhalm, Theodor Abart, Moritz Noeske, Lisa Kumer, Katharina Ebenberger, Clemens Atteneder, Angelika Berger, Günther Laufer, Dominik Wiedemann, Daniel Zimpfer, Heinrich Schima, Michael Wagner, Thomas Schlöglhofer:
  Human Factors Evaluation of HeartMate 3 Left Ventricular Assist Device Peripherals: An Eye Tracking Supported Simulation Study. J. Medical Syst. 47(1): 58 (2023)
• 
  Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim, Katharina Kleinen-von Königslöw, Gregor Wiedemann:
  Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine. CoRR abs/2312.16975 (2023)
• 2022
• 
  Mattes Ruckdeschel, Gregor Wiedemann:
  Boundary Detection and Categorization of Argument Aspects via Supervised Learning. ArgMining@COLING 2022: 126-136
• 
  Steffen Remus, Gregor Wiedemann, Saba Anwar, Fynn Petersen-Frey, Seid Muhie Yimam, Chris Biemann:
  More Like This: Semantic Retrieval with Linguistic Information. KONVENS 2022: 156-166
• 
  Lena Jurkschat, Gregor Wiedemann, Maximilian Heinrich, Mattes Ruckdeschel, Sunna Torge:
  Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. LREC 2022: 663-672
• 
  Gregor Wiedemann, Jan Matti Dollbaum, Sebastian Haunss, Priska Daphi, Larissa Daria Meier:
  A Generalized Approach to Protest Event Detection in German Local News. LREC 2022: 3883-3891
• 2021
• 
  Gregor Wiedemann, Gerhard Heyer:
  Multi-modal page stream segmentation with convolutional neural networks. Lang. Resour. Evaluation 55(1): 127-150 (2021)
• 
  Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej:
  Forum 4.0: An Open-Source User Comment Analysis Framework. EACL (System Demonstrations) 2021: 63-70
• 
  Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast:
  On Classifying whether Two Texts are on the Same Side of an Argument. EMNLP (1) 2021: 10130-10138
• 
  Ahmad Dawar Hakimi, Erik Körner, Gregor Wiedemann, Gerhard Heyer, Martin Potthast:
  Same Side Stance Classification Adversarial Test Cases. Zenodo, 2021 
• 
  Gregor Wiedemann, Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast:
  Same Side Stance Classification Resampled Datasets. Zenodo, 2021 
• 
  Christian Kahmann, Andreas Niekler, Gregor Wiedemann:
  Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences. CoRR abs/2110.02708 (2021)
• 2020
• 
  Ringo Baumann, Gregor Wiedemann, Maximilian Heinrich, Ahmad Dawar Hakimi, Gerhard Heyer:
  The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments. Datenbank-Spektrum 20(2): 107-113 (2020)
• 
  Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
  UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. SemEval@COLING 2020: 1638-1644
• 
  Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
  UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. CoRR abs/2004.11493 (2020)
• 2019
• 
  Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
  Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. ACL (1) 2019: 5829-5839
• 
  Markus Werning, Matthias Unterhuber, Gregor Wiedemann:
  Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data. CogSci 2019: 3085-3091
• 
  Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
  Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. KONVENS 2019
• 
  Gregor Wiedemann, Eugen Ruppert, Chris Biemann:
  UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection. SemEval@NAACL-HLT 2019: 782-787
• 
  Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
  Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. CoRR abs/1906.05000 (2019)
• 
  Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
  Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. CoRR abs/1909.10430 (2019)
• 2018
• 
  Sabine Gründer-Fahrer, Antje Schlaf, Gregor Wiedemann, Gerhard Heyer:
  Topics and topical phases in German social media communication during a disaster. Nat. Lang. Eng. 24(2): 221-264 (2018)
• 
  Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
  A Multilingual Information Extraction Pipeline for Investigative Journalism. EMNLP (Demonstration) 2018: 78-83
• 
  Gregor Wiedemann, Raghav Jindal, Chris Biemann:
  microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. KONVENS 2018: 165-171
• 
  Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier:
  ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. LREC 2018
• 
  Gregor Wiedemann, Gerhard Heyer:
  Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. LREC 2018
• 
  Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
  New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. SocInfo (2) 2018: 313-322
• 
  Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier:
  iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. CoRR abs/1805.11404 (2018)
• 
  Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
  New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. CoRR abs/1807.05151 (2018)

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