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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...
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05/19/2022
Why only Micro-F1? Class Weighting of Measures for Relation Classification
Relation classification models are conventionally evaluated using only a...
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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...
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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...
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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...
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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...
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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...
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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...
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09/24/2019
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Representations in the hidden layers of Deep Neural Networks (DNN) are o...
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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...
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06/07/2019
Improving Relation Extraction by Pre-trained Language Representations
Current state-of-the-art relation extraction methods typically rely on a...
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08/13/2018