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KUNDENINFORMATIONEN DER NÄCHSTEN GENERATION

Wissenschaftliche Veröffentlichungen

Entdecken Sie verborgene Erkenntnisse in Kundenfeedback und komplexen qualitativen Daten. Summetix verwendet proprietäres Argument Mining und große Sprachmodelle, um Muster und Trends zu entdecken, die Ihr Geschäft verändern können.

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2024

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

Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

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Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals

Galia Weidl, Stefan Berres, Anders L Madsen, Johannes Daxenberger, Annegret Aulbach

International Conference on Probabilistic Graphical Models

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2023

Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting

Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal

Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)

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2022

Using Information-Seeking Argument Mining to Improve Service

Bernd Skiera, Shunyao Yan, Johannes Daxenberger, Marcus Dombois, Iryna Gurevych

Journal of Service Research

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2021

From Argument Search to Argumentive Dialogue: A Topic-Independent Approach to Argument Acquisition for Dialogue Systems (Best Paper Award at SIGDIAL 2021!)

Niklas Rach, Carolin Schindler, Isabel Feustel, Johannes Daxenberger, Wolfgang Minker, Stefan Ultes

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.

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

Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych

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

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Stance Detection Benchmark: How Robust Is Your Stance Detection?

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

KI – Künstliche Intelligenz.

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Aspect-Controlled Neural Argument Generation

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

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

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2020

Arguments as Social Good: Good Arguments in Times of Crisis

Johannes Daxenberger, Iryna Gurevych

AI for Social Good – AAAI Fall Symposium 2020.

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ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

Johannes Daxenberger, Benjamin Schiller, Chris Stahlhut, Erik Kaiser, Iryna Gurevych

Datenbank-Spektrum 20:115–121 (2020).

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Fine-Grained Argument Unit Recognition and Classification

Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych

The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA

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

Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yaumoto, Wolfgang Minker

Proceedings of Language Resources and Evaluation Conference (LREC 2020), Marseille, France.

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2019

Classification and Clustering of Arguments with Contextualized Word Embeddings

Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

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2018

Cross-topic Argument Mining from Heterogeneous Sources

Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection

Steffen Eger, Andreas Rücklé, Iryna Gurevych

5th Workshop on Argument Mining at the 2018 Conference on Empirical Methods in Natural Language Processing.

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Cross-Lingual Argumentative Relation Identification: from English to Portuguese

Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych

5th Workshop on Argument Mining at the 2018 Conference on Empirical Methods in Natural Language Processing.

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

Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych

Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018).

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ArgumenText: Searching for Arguments in Heterogeneous Sources

Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych

Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Demo).

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

Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych

Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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2017

What is the essence of a claim?

Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, and Iryna Gurevych. 2017.

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.

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Neural end-to-end learning for computational argumentation mining.

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

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Parsing argumentation structures in persuasive essays.

Christian Stab and Iryna Gurevych. 2017.

Computational Linguistics 43(3):619–659.

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