output
20102026
most citedLearning Latent Dynamics for Planning from Pixels

339 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023★ 8 cited

xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization

Florian Borchert, Ignacio Llorca, Roland Roller +2

Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English. Materials and M…

cs.CL2023★ 11 cited

Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization

Daniel Atzberger, Tim Cech, Willy Scheibel +4

Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorith…

cs.CL2023★ 6 cited

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?

Margarita Bugueño, Gerard de Melo

Given the success of Graph Neural Networks (GNNs) for structure-aware machine learning, many studies have explored their use for text classification, but mostly in specific domains…

cs.CL2023★ 5 cited

FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models

Konstantin Dobler, Gerard de Melo

Using model weights pretrained on a high-resource language as a warm start can reduce the need for data and compute to obtain high-quality language models for other, especially low…

cs.CL2023★ 52 cited

MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain

Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann +12

This paper presents medBERTde, a pre-trained German BERT model specifically designed for the German medical domain. The model has been trained on a large corpus of 4.7 Million Germ…