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Sebastian Padó

8 accepted papers

2024

Media Bias Detection Across Families of Language Models

NAACL 2024long

Bias in reporting can influence the public’s opinion on relevant societal issues. Examples include informational bias (selective presentation of content) and lexical bias (specific framing of content through linguistic choices). The recognition of media bias is arguably an area where NLP can contrib…

Cited by 4SourcePDFScholar
2024

Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean

COLING 2024main

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 Multidimensional Quality Metrics (MQM) framework which offers a fine-grained ontology of quality dimensions for scoring (such as styl…

2024

Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter

EMNLP 2024finding

Political discourse on Twitter is a moving target: politicians continuously make statements about their positions. It is therefore crucial to track their discourse on social media to understand their ideological positions and goals. However, Twitter data is also challenging to work with since it is…

2024

Towards Understanding the Relationship between In-context Learning and Compositional Generalization

COLING 2024main

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 combined. This principle is crucial for human language processing and also, arguably, for NLP models in the face of out-of-d…

Cited by 0SourcePDFScholar
2023

Additive manifesto decomposition: A policy domain aware method for understanding party positioning

ACL 2023findings

Automatic extraction of party (dis)similarities from texts such as party election manifestos or parliamentary speeches plays an increasing role in computational political science. However, existing approaches are fundamentally limited to targeting only global party (dis)-similarity: they condense th…

2023

Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers

EMNLP 2023long main

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 long) body of text (e.g. a parliamentary speech or an election manifesto). For example, political scientists have often use…

Cited by 0SourcecodeScholar
2020

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation

COLING 2020main

Machine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world. An important part of communication, however, takes place at the non-propositional level (e.g., politeness, formality, emotions), and it is far from clear whet…