‚Hänge nie einen Pollock neben ein(-e/-en) Kahlo!‘ - Genusunsicherheiten bei Referenz auf Werke weiblicher Kunstschaffender
Our paper deals with the metonymic use of artists' proper names to refer to works of art in German, i.e. in constructions such as Im Museum hängt ein echter Picasso ['a real Picasso hangs in the museum']. Our analyses focus on the grammatical gender...
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Our paper deals with the metonymic use of artists' proper names to refer to works of art in German, i.e. in constructions such as Im Museum hängt ein echter Picasso ['a real Picasso hangs in the museum']. Our analyses focus on the grammatical gender used in thc constructions where reference is made to works of art by female artists. We address the issue using a variety of methods. Firstly, we present the results of a corpus study that demonstrates the use of the construction. Secondly, we present an experimental online study that analyzes the acceptance of the construction when using different grammatical genders as a function of various factors – primarily, the congrucnce between the gender identity of the artist and the grammatical gender in the construction. We discuss the results and outline the necessary next steps to gain an even more comprehensive understanding of the phenomenon.
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Journal for Language Technology and Computational Linguistics. Special issue on LLM fails – failed experiments with generative AI and what we can learn from them
This JLCL special issue focuses on linguistic and NLP experiments with generativeAI that did not yield the desired results. All papers explore the extent in which their failed experiment can contribute to knowledge gain regarding the work with...
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This JLCL special issue focuses on linguistic and NLP experiments with generativeAI that did not yield the desired results. All papers explore the extent in which their failed experiment can contribute to knowledge gain regarding the work with generative AI.
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Editorial
Failed experiments typically have no place in scientific discourse; they are discarded and not published. We believe that this practice results in a loss of potential knowledge gain. A systematic reflection on the causes of failures allows for the...
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Failed experiments typically have no place in scientific discourse; they are discarded and not published. We believe that this practice results in a loss of potential knowledge gain. A systematic reflection on the causes of failures allows for the critical examination and/or improvement of methods used. Furthermore, when previously failed experiments are repeated and subsequently succeed, progress can be explicitly determined. From the perspective of methodological reflection, the discussion and documentation of failures thus provide added value for the scientific community. This is particularly true in a field like research on and with generative artificial intelligence (AI), which lacks a long-standing tradition and in which best practices are still in the process of being established. This JLCL special issue focuses on linguistic and NLP experiments with generative AI that did not yield the desired results. All papers explore the extent in which their failed experiment can contribute to knowledge gain regarding the work with generative AI.
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