Leonhard Hennig | DeepAI

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Robert Schwarzenberg
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Julian Moreno-Schneider
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David Harbecke
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Philippe Thomas
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∙ 08/17/2023

Factuality Detection using Machine Translation – a Use Case for German Clinical Text

Factuality can play an important role when automatically processing clin...

0 Mohammed Bin Sumait, et al. ∙

∙ 05/08/2023

MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset

Relation extraction (RE) is a fundamental task in information extraction...

0 Leonhard Hennig, et al. ∙

∙ 10/25/2022

Multilingual Relation Classification via Efficient and Effective Prompting

Prompting pre-trained language models has achieved impressive performanc...

0 Yuxuan Chen, et al. ∙

∙ 10/24/2022

Full-Text Argumentation Mining on Scientific Publications

Scholarly Argumentation Mining (SAM) has recently gained attention due t...

0 Arne Binder, et al. ∙

∙ 10/14/2022

Confidence estimation of classification based on the distribution of the neural network output layer

One of the most common problems preventing the application of prediction...

0 Abdel Aziz Taha, et al. ∙

∙ 10/13/2022

Constructing Natural Language Explanations via Saliency Map Verbalization

Saliency maps can explain a neural model's prediction by identifying imp...

0 Nils Feldhus, 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. ∙

∙ 08/16/2021

MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain

We present MobIE, a German-language dataset, which is human-annotated wi...

0 Leonhard Hennig, 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. ∙

∙ 04/17/2020

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. ∙

∙ 04/08/2020

SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities

Recent years showed a strong increase in biomedical sciences and an inhe...

0 Johannes Kirschnick, et al. ∙

∙ 04/07/2020

A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products

Recognizing non-standard entity types and relations, such as B2B product...

0 Saskia Schön, et al. ∙

∙ 04/07/2020

A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events

Monitoring mobility- and industry-relevant events is important in areas ...

0 Martin Schiersch, et al. ∙

∙ 03/29/2020

Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling

We explore to what extent knowledge about the pre-trained language model...

0 Dmitrii Aksenov, 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. ∙

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