17 citations · 29 across the 4 of their papers we have counts for
5 papers
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
Xutan Peng, Guanyi Chen, Chenghua Lin +1
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications. However, existing studies focus on improving…
UserReg: A Simple but Strong Model for Rating Prediction
Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov +1
Collaborative filtering (CF) has achieved great success in the field of recommender systems. In recent years, many novel CF models, particularly those based on deep learning or gra…
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
Haiyang Zhang, Alison Sneyd, Mark Stevenson
It has been shown that word embeddings can exhibit gender bias, and various methods have been proposed to quantify this. However, the extent to which the methods are capturing soci…
Identifying Automatically Generated Headlines using Transformers
Antonis Maronikolakis, Hinrich Schutze, Mark Stevenson
False information spread via the internet and social media influences public opinion and user activity, while generative models enable fake content to be generated faster and more…
Automatic Generation of Topic Labels
Areej Alokaili, Nikolaos Aletras, Mark Stevenson
Topic modelling is a popular unsupervised method for identifying the underlying themes in document collections that has many applications in information retrieval. A topic is usual…