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Found 10 papers, 0 papers with code
QURATOR: Innovative Technologies for Content and Data Curation
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing.
Named Entities in Medical Case Reports: Corpus and Experiments
We present a new corpus comprising annotations of medical entities in case reports, originating from PubMed Central's open access library.
Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
As some of the adaptations have profound impact, we also present a new annotation tool for coreference, with a focus on enabling annotation of long texts with many discourse entities.
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algo- rithmic mechanisms; interpretable systems where users can mathemat- ically analyze its algorithmic mechanisms; and comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached.
Multi-modular domain-tailored OCR post-correction
One of the main obstacles for many Digital Humanities projects is the low data availability.
Challenges of Computational Processing of Code-Switching
This paper addresses challenges of Natural Language Processing (NLP) on non-canonical multilingual data in which two or more languages are mixed.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Learning from Within? Comparing PoS Tagging Approaches for Historical Text
In this paper, we investigate unsupervised and semi-supervised methods for part-of-speech (PoS) tagging in the context of historical German text.
Towards Shared Datasets for Normalization Research
We focus on both the word and character level and find that we can improve the BLEU score with ca.
