Johannes Daxenberger

发表

Classification and Clustering of Arguments with Contextualized Word Embeddings

Iryna Gurevych, Nils Reimers, Johannes Daxenberger, 2019, ACL.

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks pdf

Iryna Gurevych, Nils Reimers, Johannes Daxenberger, 2020, NAACL.

ArgumenText: Searching for Arguments in Heterogeneous Sources

Iryna Gurevych, Tristan Miller, Johannes Daxenberger, 2018, NAACL.

A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles

Iryna Gurevych, Johannes Daxenberger, Iryna Gurevych, 2012, COLING.

Is Interaction More Important than Individual Performance?: A Study of Motifs in Wikia

Iryna Gurevych, Thomas Arnold, Johannes Daxenberger, 2017, WWW.

Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite

Iryna Gurevych, Johannes Daxenberger, Maria Sukhareva, 2017, LaTeCH@ACL.

Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische

Iryna Gurevych, Johannes Daxenberger, S. Görke, 2017, Jahrestagung des Verbands Digital Humanities im deutschsprachigen Raum.

What is the Essence of a Claim? Cross-Domain Claim Identification pdf

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2017, EMNLP.

A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation

Iryna Gurevych, Johannes Daxenberger, Lucie Flekova, 2016, ICLS.

DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data

Oliver Ferschke, Iryna Gurevych, Johannes Daxenberger, 2014, ACL.

Stance Detection Benchmark: How Robust is Your Stance Detection? pdf

Iryna Gurevych, Johannes Daxenberger, Benjamin Schiller, 2020, KI - Künstliche Intelligenz.

A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia

Oliver Ferschke, Iryna Gurevych, Johannes Daxenberger, 2013, The People's Web Meets NLP.

UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2017 .

Domain-Specific Aspects of Scientific Reasoning and Argumentation: Insights from Automatic Coding

Iryna Gurevych, Johannes Daxenberger, Ingo Kollar, 2018 .

Automated Text Classification to Capture Scientific Reasoning and Argumentation Processes in Different Professional Problem Solving Contexts

Iryna Gurevych, Johannes Daxenberger, Ingo Kollar, 2016 .

Fine-Grained Argument Unit Recognition and Classification

Iryna Gurevych, Hinrich Schütze, Johannes Daxenberger, 2019, AAAI.

Aspect-Controlled Neural Argument Generation pdf

Iryna Gurevych, Johannes Daxenberger, Benjamin Schiller, 2020, NAACL.

Mass Collaboration on the Web: Textual Content Analysis by Means of Natural Language Processing

Iryna Gurevych, Johannes Daxenberger, Ivan Habernal, 2016 .

Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia

Iryna Gurevych, Johannes Daxenberger, Iryna Gurevych, 2014, ACL.

Automatically Detecting Incivility in Online Discussions of News Media

Iryna Gurevych, Johannes Daxenberger, Marc Ziegele, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

Developing Automated Measures to Predict Incivility in Public Online Discussions on the Facebook Sites of Established News Media

Johannes Daxenberger, Oliver Quiring, Iryna Gurevych, 2018 .

Deep Learning for Aspect Based Sentiment Detection

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2017 .

Argument Mining: A new method for automated text analysis and its application in communication science

Iryna Gurevych, Johannes Daxenberger, Matthias Orlikowski, 2019 .

Using Information-Seeking Argument Mining to Improve Service

Johannes Daxenberger, B. Skiera, Iryna Gurevych, 2022, Journal of Service Research.

Argumentation Mining: Eine neue Methode zur automatisierten Textanalyse und ihre Anwendung in der Kommunikationswissenschaft

Iryna Gurevych, Johannes Daxenberger, M. Maurer, 2017 .

How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2020, CONLL.

The writing process in online mass collaboration NLP-supported approaches to analyzing collaborative revision and user Interaction

Johannes Daxenberger, Johannes Daxenberger, 2016 .

Multi-Task Learning for Argumentation Mining in Low-Resource Settings

Iryna Gurevych, Johannes Daxenberger, Claudia Schulz, 2018, NAACL.

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! pdf

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2018, COLING.

Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction

Oded Nov, Ofer Arazy, Johannes Daxenberger, 2016, Inf. Syst. Res..

Emergent Roles in Self-Organizing Knowledge Co-Production: Turbulence and Stability

Iryna Gurevych, Johannes Daxenberger, O. Nov, 2016 .

Neural End-to-End Learning for Computational Argumentation Mining

Iryna Gurevych, Johannes Daxenberger, Steffen Eger, 2017, ACL.

From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems

Stefan Ultes, Wolfgang Minker, Johannes Daxenberger, 2021, SIGDIAL.

On the "How" and "Why" of Emergent Role Behaviors in Wikipedia

Oded Nov, Ofer Arazy, Johannes Daxenberger, 2017, CSCW.

Fine-Grained Argument Unit Recognition and Classification

Iryna Gurevych, Johannes Daxenberger, Christian Stab, 2019, AAAI.

ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

Benjamin Schiller, Johannes Daxenberger, C. Stahlhut, 2020, Datenbank-Spektrum.

Automatically Classifying Edit Categories in Wikipedia Revisions

Iryna Gurevych, Johannes Daxenberger, Iryna Gurevych, 2013, EMNLP.

Diversity Over Size: On the Effect of Sample and Topic Sizes for Argument Mining Datasets

Iryna Gurevych, Benjamin Schiller, Johannes Daxenberger, 2022, 2205.11472.

Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems

Wolfgang Minker, Johannes Daxenberger, Stefan Ultes, 2020, LREC.