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cs.CL2023
An Attribution Method for Siamese Encoders
Lucas Möller, Dmitry Nikolaev, Sebastian Padó
Despite the success of Siamese encoder models such as sentence transformers (ST), little is known about the aspects of inputs they pay attention to. A barrier is that their predict…
cs.CL2023★ 1 cited
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…
cs.CL2023
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…