1 citations · 1 across the 6 of their papers we have counts for
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Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task
Dmitry Nikolaev, Jorke Grotenhuis, Haleli Harel +1
The complex Ancient Egyptian (AE) writing system was characterised by widespread use of graphemic classifiers (determinatives): silent (unpronounced) hieroglyphic signs clarifying…
Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering
Ofir Arviv, Dmitry Nikolaev, Taelin Karidi +1
Despite the impressive growth of the abilities of multilingual language models, such as XLM-R and mT5, it has been shown that they still face difficulties when tackling typological…
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…
Adverbs, Surprisingly
Dmitry Nikolaev, Collin F. Baker, Miriam R. L. Petruck +1
This paper begins with the premise that adverbs are neglected in computational linguistics. This view derives from two analyses: a literature review and a novel adverb dataset to p…
Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Tanise Ceron, Dmitry Nikolaev, Sebastian Padó
Automatic extraction of party (dis)similarities from texts such as party election manifestos or parliamentary speeches plays an increasing role in computational political science.…