7 citations · 9 across the 5 of their papers we have counts for
7 papers
Factuality Detection using Machine Translation -- a Use Case for German Clinical Text
Mohammed Bin Sumait, Aleksandra Gabryszak, Leonhard Hennig +1
Factuality can play an important role when automatically processing clinical text, as it makes a difference if particular symptoms are explicitly not present, possibly present, not…
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain
Leonhard Hennig, Phuc Tran Truong, Aleksandra Gabryszak
We present MobIE, a German-language dataset, which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entit…
Evaluating German Transformer Language Models with Syntactic Agreement Tests
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg +2
Pre-trained transformer language models (TLMs) have recently refashioned natural language processing (NLP): Most state-of-the-art NLP models now operate on top of TLMs to benefit f…
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig
TACRED (Zhang et al., 2017) is one of the largest, most widely used crowdsourced datasets in Relation Extraction (RE). But, even with recent advances in unsupervised pre-training a…
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig
Despite the recent progress, little is known about the features captured by state-of-the-art neural relation extraction (RE) models. Common methods encode the source sentence, cond…
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products
Saskia Schön, Veselina Mironova, Aleksandra Gabryszak +1
Recognizing non-standard entity types and relations, such as B2B products, product classes and their producers, in news and forum texts is important in application areas such as su…
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Martin Schiersch, Veselina Mironova, Maximilian Schmitt +3
Monitoring mobility- and industry-relevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific c…