Search Results for author: Betty van Aken

Found 11 papers, 8 papers with code

Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?

1 code implementation NAACL (NLPMC) 2021 Betty van Aken, Ivana Trajanovska, Amy Siu, Manuel Mayrdorfer, Klemens Budde, Alexander Loeser

In order to provide high-quality care, health professionals must efficiently identify the presence, possibility, or absence of symptoms, treatments and other relevant entities in free-text clinical notes.

Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research

no code implementations29 Jun 2023 Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge

Many recent improvements in NLP stem from the development and use of large pre-trained language models (PLMs) with billions of parameters.

Cross-Lingual Knowledge Transfer for Clinical Phenotyping

1 code implementation LREC 2022 Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix Gers, Alexander Löser

Clinical phenotyping enables the automatic extraction of clinical conditions from patient records, which can be beneficial to doctors and clinics worldwide.

Transfer Learning

What Do You See in this Patient? Behavioral Testing of Clinical NLP Models

1 code implementation NAACL (ClinicalNLP) 2022 Betty van Aken, Sebastian Herrmann, Alexander Löser

We thus introduce an extendable testing framework that evaluates the behavior of clinical outcome models regarding changes of the input.

VisBERT: Hidden-State Visualizations for Transformers

1 code implementation9 Nov 2020 Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers

At the same time, they are difficult to incorporate into the large, black-box models that achieve state-of-the-art results in a multitude of NLP tasks.

Multi-hop Question Answering Question Answering

Learning Contextualized Document Representations for Healthcare Answer Retrieval

1 code implementation3 Feb 2020 Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser

Our model leverages a dual encoder architecture with hierarchical LSTM layers and multi-task training to encode the position of clinical entities and aspects alongside the document discourse.

Passage Ranking Retrieval

How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations

2 code implementations11 Sep 2019 Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers

In order to better understand BERT and other Transformer-based models, we present a layer-wise analysis of BERT's hidden states.

Question Answering

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