Search Results for author:
Found 8 papers, 3 papers with code
A larger-scale evaluation resource of terms and their shift direction for diachronic lexical semantics
Determining how words have changed their meaning is an important topic in Natural Language Processing.
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Diversity is a commonly known principle in the design of recommender systems, but also ambiguous in its conceptualization.
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach
Our approach employs a user-centric pre-processing strategy aimed at exposing users to a wide array of content categories and topics.
How Contentious Terms About People and Cultures are Used in Linked Open Data
In some cases, LOD contributors mark contentious terms with words and phrases in literals (implicit markers) or properties linked to resources (explicit markers).
Hidden Author Bias in Book Recommendation
We find that popular books are mainly written by US citizens in the dataset, and that these books tend to be recommended disproportionally by popular collaborative filtering algorithms compared to the users' profiles.
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
The "basic level", according to experiments in cognitive psychology, is the level of abstraction in a hierarchy of concepts at which humans perform tasks quicker and with greater accuracy than at other levels.
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History
With the growing abundance of unlabeled data in real-world tasks, researchers have to rely on the predictions given by black-boxed computational models.
A Corpus of Images and Text in Online News
The corpus consists of JSON-LD files with the following data about each article: the original URL of the article on the news publisher{'}s website, the date of publication, the headline of the article, the URL of the image displayed with the article (if any), and the caption of that image.
