Most NLP tasks are modeled as supervised learning and thus require label...
Large amounts of annotated data have become more important than ever,
es...
Media coverage possesses a substantial effect on the public perception o...
Slanted news coverage, also called media bias, can heavily influence how...
Named entity recognition (NER) is an important task that aims to resolve...
Media bias and its extreme form, fake news, can decisively affect public...
Slanted news coverage strongly affects public opinion. This is especiall...
Datasets and methods for cross-document coreference resolution (CDCR) fo...
Cross-document coreference resolution (CDCR) datasets, such as ECB+, con...
Unsupervised concept identification through clustering, i.e., identifica...
News is a central source of information for individuals to inform themse...
Extensive research on target-dependent sentiment classification (TSC) ha...
Traditional media outlets are known to report political news in a biased...
News articles covering policy issues are an essential source of informat...
In this paper, we show how selecting and combining encodings of natural ...
In scientific publications, citations allow readers to assess the
authen...
Event extraction from news articles is a commonly required prerequisite ...
We present an open source math-aware Question Answering System based on ...