448 citations · 658 across the 19 of their papers we have counts for
4 papers · 1 filter
Optimizing text representations to capture (dis)similarity between political parties
Tanise Ceron, Nico Blokker, Sebastian Padó
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a cruc…
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
Lucas Möller, Sebastian Padó
A number of models for neural content-based news recommendation have been proposed. However, there is limited understanding of the relative importances of the three main components…
Word-order typology in Multilingual BERT: A case study in subordinate-clause detection
Dmitry Nikolaev, Sebastian Padó
The capabilities and limitations of BERT and similar models are still unclear when it comes to learning syntactic abstractions, in particular across languages. In this paper, we us…
Meta Learning for Code Summarization
Moiz Rauf, Sebastian Padó, Michael Pradel
Source code summarization is the task of generating a high-level natural language description for a segment of programming language code. Current neural models for the task differ…