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Found 7 papers, 2 papers with code
Levels of Non-Fictionality in Fictional Texts
In a quantitative experiment, we apply the entity-level fictionality tagger to our corpus and conclude that more non-fictional passages can be identified when information about real entities is available.
#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets
In this system paper, we present a transformer-based approach to the detection of informativeness in English tweets on the topic of the current COVID-19 pandemic.
Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages
This paper describes our participating system for the Shared Task on Discourse Segmentation and Connective Identification across Formalisms and Languages.
Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study
The Universal Dependencies treebanks are a still-growing collection of treebanks for a wide range of languages, all annotated with a common inventory of dependency relations.
Annotating Quantified Phenomena in Complex Sentence Structures Using the Example of Generalising Statements in Literary Texts
We present a tagset for the annotation of quantification which we currently use to annotate certain quantified statements in fictional works of literature.
Exploring Automatic Text Simplification of German Narrative Documents
In this paper, we apply transformer-based Natural Language Generation (NLG) techniques to the problem of text simplification.
