Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Leidner, Jochen L."'
Autor:
Menzner, Tim, Leidner, Jochen L.
We present improved models for the granular detection and sub-classification news media bias in English news articles. We compare the performance of zero-shot versus fine-tuned large pre-trained neural transformer language models, explore how the lev
Externí odkaz:
http://arxiv.org/abs/2412.11835
Autor:
Menzner, Tim, Leidner, Jochen L.
The increasing consumption of news online in the 21st century coincided with increased publication of disinformation, biased reporting, hate speech and other unwanted Web content. We describe BiasScanner, an application that aims to strengthen democr
Externí odkaz:
http://arxiv.org/abs/2407.10829
Autor:
Menzner, Tim, Leidner, Jochen L.
The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly spread biased (distorted) or fake (non-factual) information to promote t
Externí odkaz:
http://arxiv.org/abs/2406.09938
In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning a
Externí odkaz:
http://arxiv.org/abs/2406.07227
Autor:
Leidner, Jochen L., Stevenson, Mark
Over the course of the recent decade, tremendous progress has been made in the areas of machine learning and natural language processing, which opened up vast areas of potential application use cases, including hiring and human resource management. W
Externí odkaz:
http://arxiv.org/abs/2405.07766
Autor:
Rüdel, Thomas, Leidner, Jochen L.
Customer data typically is held in database systems, which can be seen as rule-based knowledge base, whereas businesses increasingly want to benefit from the capabilities of large, pre-trained language models. In this technical report, we describe a
Externí odkaz:
http://arxiv.org/abs/2311.11701
Autor:
Leidner, Jochen L.
Big data, i.e. collecting, storing and processing of data at scale, has recently been possible due to the arrival of clusters of commodity computers powered by application-level distributed parallel operating systems like HDFS/Hadoop/Spark, and such
Externí odkaz:
http://arxiv.org/abs/2201.07725
Despite recent advances in deep learning-based language modelling, many natural language processing (NLP) tasks in the financial domain remain challenging due to the paucity of appropriately labelled data. Other issues that can limit task performance
Externí odkaz:
http://arxiv.org/abs/2010.08319
Autor:
Pfeifer, Daniel, Leidner, Jochen L.
We introduce Topic Grouper as a complementary approach in the field of probabilistic topic modeling. Topic Grouper creates a disjunctive partitioning of the training vocabulary in a stepwise manner such that resulting partitions represent topics. It
Externí odkaz:
http://arxiv.org/abs/1904.06483
Autor:
Leidner, Jochen L.
There has been a recent trend to migrate IT infrastructure into the cloud. In this paper, we discuss the impact of this trend on searching for textual and other data, i.e. the distributed indexing and retrieval of information, from an organizational
Externí odkaz:
http://arxiv.org/abs/1807.00257