Search Results for author: Julius Steen

Found 7 papers, 3 papers with code

AMR4NLI: Interpretable and robust NLI measures from semantic graphs

no code implementations1 Jun 2023 Juri Opitz, Shira Wein, Julius Steen, Anette Frank, Nathan Schneider

The task of natural language inference (NLI) asks whether a given premise (expressed in NL) entails a given NL hypothesis.

Natural Language Inference

How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation

1 code implementation COLING 2022 Julius Steen, Katja Markert

While none of the currently available automatic coherence measures are able to assign reliable coherence scores to system summaries across all evaluation metrics, large-scale language models fine-tuned on self-supervised tasks show promising results, as long as fine-tuning takes into account that they need to generalize across different summary lengths.

Detecting Annotation Scheme Variation in Out-of-Domain Treebanks

no code implementations LREC 2016 Yannick Versley, Julius Steen

To ensure portability of NLP systems across multiple domains, existing treebanks are often extended by adding trees from interesting domains that were not part of the initial annotation effort.

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