Search Results for author: Niklas Rach

Found 5 papers, 1 papers with code

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

1 code implementation SIGDIAL (ACL) 2021 Niklas Rach, Carolin Schindler, Isabel Feustel, Johannes Daxenberger, Wolfgang Minker, Stefan Ultes

Despite the remarkable progress in the field of computational argumentation, dialogue systems concerned with argumentative tasks often rely on structured knowledge about arguments and their relations.

Relation Classification

Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain

no code implementations3 Mar 2021 Waheed Ahmed Abro, Annalena Aicher, Niklas Rach, Stefan Ultes, Wolfgang Minker, Guilin Qi

Intent classifier model stacks BiLSTM with attention mechanism on top of the pre-trained BERT model and fine-tune the model for recognizing the user intent, whereas the argument similarity model employs BERT+BiLSTM for identifying system arguments the user refers to in his or her natural language utterances.

Natural Language Understanding STS

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

no code implementations LREC 2020 Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yasumoto, Wolfgang Minker

We present an approach to evaluate argument search techniques in view of their use in argumentative dialogue systems by assessing quality aspects of the retrieved arguments.

Interaction Quality Estimation Using Long Short-Term Memories

no code implementations WS 2017 Niklas Rach, Wolfgang Minker, Stefan Ultes

For estimating the Interaction Quality (IQ) in Spoken Dialogue Systems (SDS), the dialogue history is of significant importance.

General Classification Spoken Dialogue Systems

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