2 citations · 3 across the 11 of their papers we have counts for
11 papers
Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean
Dojun Park, Sebastian Padó
Almost all frameworks for the manual or automatic evaluation of machine translation characterize the quality of an MT output with a single number. An exception is the Multidimensio…
Towards Understanding the Relationship between In-context Learning and Compositional Generalization
Sungjun Han, Sebastian Padó
According to the principle of compositional generalization, the meaning of a complex expression can be understood as a function of the meaning of its parts and of how they are comb…
Approximate Attributions for Off-the-Shelf Siamese Transformers
Lucas Möller, Dmitry Nikolaev, Sebastian Padó
Siamese encoders such as sentence transformers are among the least understood deep models. Established attribution methods cannot tackle this model class since it compares two inpu…
Actor Identification in Discourse: A Challenge for LLMs?
Ana Barić, Sean Papay, Sebastian Padó
The identification of political actors who put forward claims in public debate is a crucial step in the construction of discourse networks, which are helpful to analyze societal de…
Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers
Dmitry Nikolaev, Tanise Ceron, Sebastian Padó
Scaling analysis is a technique in computational political science that assigns a political actor (e.g. politician or party) a score on a predefined scale based on a (typically lon…
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
Dmitry Nikolaev, Sebastian Padó
The question of what kinds of linguistic information are encoded in different layers of Transformer-based language models is of considerable interest for the NLP community. Existin…