Search Results for author: Fabian Galetzka

Found 3 papers, 2 papers with code

Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes

no code implementations11 Aug 2023 Fabian Galetzka, Anne Beyer, David Schlangen

In this survey, we interpret Grice's maxims of cooperative conversation from the perspective of this specific research area and systematize the literature under the aspect of what makes a contribution appropriate: A neural conversation model has to be fluent, informative, consistent, coherent, and follow social norms.

Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer

1 code implementation ACL 2021 Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann

To improve the coherence and knowledge retrieval capabilities of non-task-oriented dialogue systems, recent Transformer-based models aim to integrate fixed background context.

Dialogue Generation Graph Attention +3

A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models

1 code implementation LREC 2020 Fabian Galetzka, Chukwuemeka U. Eneh, David Schlangen

Fully data driven Chatbots for non-goal oriented dialogues are known to suffer from inconsistent behaviour across their turns, stemming from a general difficulty in controlling parameters like their assumed background personality and knowledge of facts.

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