• Publications
  • Influence
Parsing Argumentation Structures in Persuasive Essays
TLDR
We identify argument components using sequence labeling at the token level and apply a new joint model for detecting argumentation structures. Expand
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Identifying Argumentative Discourse Structures in Persuasive Essays
TLDR
In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. Expand
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Annotating Argument Components and Relations in Persuasive Essays
TLDR
We propose an annotation scheme that includes the annotation of claims and premises as well as support and attack relations for capturing the structure of argumentative discourse. Expand
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Cross-topic Argument Mining from Heterogeneous Sources
TLDR
In this paper, we propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts that are annotated with topic-based arguments. Expand
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Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
TLDR
We propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts. Expand
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What is the Essence of a Claim? Cross-Domain Claim Identification
TLDR
We perform a qualitative analysis across six different datasets and show that these appear to conceptualize claims quite differently. Expand
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DKPro Agreement: An Open-Source Java Library for Measuring Inter-Rater Agreement
TLDR
In this paper, we introduce a novel Java implementation of multiple inter-rater agreement measures, which we make available as open-source software. Expand
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ArgumenText: Searching for Arguments in Heterogeneous Sources
TLDR
We present ArgumenText, which we believe is the first system for topic-relevant argument search in heterogeneous texts. Expand
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Classification and Clustering of Arguments with Contextualized Word Embeddings
TLDR
We show how to leverage the power of contextualized word embeddings to classify and cluster topic-dependent arguments, achieving impressive results on both tasks and across multiple datasets. Expand
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Argumentative Writing Support by means of Natural Language Processing
TLDR
We introduce a novel end-to-end approach for parsing argumentation structures. Expand
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