1 citations · 1 across the 5 of their papers we have counts for
6 papers
Comparing Architectures for Supervised Political Scaling
Anna Golub, Sebastian Padó
Text scaling, the task of positioning political actors on an ideological scale, is a fundamental task in political analysis. To ease the need for manual analysis, various NLP metho…
AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
Michelle Barbosa, Sebastian Padó, Franziska Weeber
Socio-cultural stereotypical bias is an important consideration in the development and deployment of NLP systems. It is however often considered only at the national level, despite…
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…
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…
Political claim identification and categorization in a multilingual setting: First experiments
Urs Zaberer, Sebastian Padó, Gabriella Lapesa
The identification and classification of political claims is an important step in the analysis of political newspaper reports; however, resources for this task are few and far betw…