Data Annotation

The subconscious influence of framing on per- ceptions of political issues is well-document in political science and communication re- search. A related line of work suggests that drawing attention to …...

For most of the Uralic languages, there is a lack of systematically collected, consequently transcribed and morphologically annotated text corpora. This pa- per sums up the steps, the preliminary results …...

Mental health and well-being are growing issues in western civilizations. But at the same time, psychotherapy and further edu- cation in psychotherapy is a highly demanding occupation, resulting in a …...

AbstractFor many structured learning tasks, the data annotation process is complex and costly. Existing annotation schemes usually aim at acquiring completely annotated structures, under the common perception that partial structures …...

AbstractCrowdsourcing is used in academia and industry to solve tasks that are easy for humans but hard for computers, in natural language processing mostly to annotate data. The quality of …...

AbstractRecent development in NLP shows a strong trend towards refining pre-trained models with a domain-specific dataset. This is especially the case for response generation where emotion plays an important role. …...

AbstractOnline misogyny, a category of online abusive language, has serious and harmful social consequences. Automatic detection of misogynistic language online, while imperative, poses complicated challenges to both data gathering, data …...

AbstractThis paper describes how idiom-related language resources, collected through a crowdsourcing experiment carried out by means of Dodiom, a Game-with-a-purpose, have been analysed by language experts. The paper focuses on …...

AbstractGRhOOT, the German RhetOrical OnTology, is a domain ontology of 110 rhetorical figures in the German language. The overall goal of building an ontology of rhetorical figures in German is …...

AbstractData annotation is the process of labeling data that could be used to train machine learning models. Having high quality annotation is crucial, as it allows the model to learn …...