Christoph Alt | DeepAI

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Chao Wang
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10 publications
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Aleksandra Gabryszak
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∙ 07/08/2022

A Medical Information Extraction Workbench to Process German Clinical Text

Background: In the information extraction and natural language processin...

0 Roland Roller, et al. ∙

∙ 05/19/2022

Why only Micro-F1? Class Weighting of Measures for Relation Classification

Relation classification models are conventionally evaluated using only a...

0 David Harbecke, et al. ∙

∙ 04/11/2022

A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition

Pre-trained language models (PLM) are effective components of few-shot n...

0 Yuxuan Chen, et al. ∙

∙ 03/31/2021

Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction

Definition Extraction systems are a valuable knowledge source for both h...

0 Marc Hübner, et al. ∙

∙ 05/22/2020

Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning

Named Entity Recognition (NER) in domains like e-commerce is an understu...

0 Hanchu Zhang, et al. ∙

∙ 04/30/2020

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

TACRED (Zhang et al., 2017) is one of the largest, most widely used crow...

0 Christoph Alt, et al. ∙

∙ 04/21/2020

Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling

Recently, state-of-the-art NLP models gained an increasing syntactic and...

0 David Harbecke, et al. ∙

∙ 04/17/2020

Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction

Despite the recent progress, little is known about the features captured...

0 Christoph Alt, et al. ∙

∙ 09/24/2019

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers

Representations in the hidden layers of Deep Neural Networks (DNN) are o...

0 Robert Schwarzenberg, et al. ∙

∙ 06/19/2019

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

Distantly supervised relation extraction is widely used to extract relat...

0 Christoph Alt, et al. ∙

∙ 06/07/2019

Improving Relation Extraction by Pre-trained Language Representations

Current state-of-the-art relation extraction methods typically rely on a...

0 Christoph Alt, et al. ∙

∙ 08/13/2018

Learning Explanations from Language Data

PatternAttribution is a recent method, introduced in the vision domain, ...

0 David Harbecke, et al. ∙

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