23 citations · 41 across the 11 of their papers we have counts for
8 papers
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?
Gil Rocha, Henrique Lopes Cardoso, Jonas Belouadi +1
Available corpora for Argument Mining differ along several axes, and one of the key differences is the presence (or absence) of discourse markers to signal argumentative content. E…
Trade-Offs Between Fairness and Privacy in Language Modeling
Cleo Matzken, Steffen Eger, Ivan Habernal
Protecting privacy in contemporary NLP models is gaining in importance. So does the need to mitigate social biases of such models. But can we have both at the same time? Existing r…
ChatGPT: A Meta-Analysis after 2.5 Months
Christoph Leiter, Ran Zhang, Yanran Chen +4
ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022. However, little hard evidence is available regardin…
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks
Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh +1
We analyze the performance of encoder-decoder neural models and compare them with well-known established methods. The latter represent different classes of traditional approaches t…
Language classification from bilingual word embedding graphs
Steffen Eger, Armin Hoenen, Alexander Mehler
We study the role of the second language in bilingual word embeddings in monolingual semantic evaluation tasks. We find strongly and weakly positive correlations between down-strea…
Corrections to the results derived in "A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions"'; and a comparison of four restricted integer composition generation algorithms
Steffen Eger
In this note, I discuss results on integer compositions/partitions given in the paper "A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions…