Author Profiling using Stylometric and Structural Feature Groupings. - Andreas Grivas; Anastasia Krithara; George Giannakopoulos (CLEF (Working Notes), 2015)

PaloPro: a platform for knowledge extraction from big social data and the news. - Nantia Makrynioti; Andreas Grivas; Christos Sardianos; Nikos Tsirakis; Iraklis Varlamis; Vasilis Vassalos; Vassilis Poulopoulos; Panagiotis Tsantilas (Int. J. Big Data Intell., 2017)

What do character-level models learn about morphology? The case of dependency parsing. - Clara Vania; Andreas Grivas; Adam Lopez (EMNLP, 2018)

Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports. - Andreas Grivas; Beatrice Alex; Claire Grover; Richard Tobin; William Whiteley (LOUHI@EMNLP, 2020)

The reporting quality of natural language processing studies: systematic review of studies of radiology reports. - Emma M. Davidson; Michael Tin Chung Poon; Arlene Casey; Andreas Grivas; Daniel Duma; Hang Dong 002; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu; Beatrice Alex; et al. (BMC Medical Imaging, 2021)

A systematic review of natural language processing applied to radiology reports. - Arlene Casey; Emma M. Davidson; Michael Tin Chung Poon; Hang Dong 002; Daniel Duma; Andreas Grivas; Claire Grover; Víctor Suárez-Paniagua; Richard Tobin; William Whiteley; Honghan Wu; Beatrice Alex (BMC Medical Informatics Decis. Mak., 2021)

Comparison of rule-based and neural network models for negation detection in radiology reports. - D. Sykes; Andreas Grivas; Claire Grover; Richard Tobin; Cathie Sudlow; William Whiteley; Andrew M. McIntosh; Heather Whalley; Beatrice Alex (Nat. Lang. Eng., 2021)

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice. - Andreas Grivas; Nikolay Bogoychev; Adam Lopez (ACL (1), 2022)

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. - Arlene Casey; Emma M. Davidson; Claire Grover; Richard Tobin; Andreas Grivas; Huayu Zhang; Patrick Schrempf; Alison Q. O'Neil; Liam Lee; Michael Walsh; Freya Pellie; Karen Ferguson; et al. (Frontiers Digit. Health, 2023)

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification. - Andreas Grivas; Antonio Vergari; Adam Lopez (AAAI, 2024)

Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news. - Andreas Grivas; Claire Grover; Richard Tobin; Clare Llewellyn; Eleojo Oluwaseun Abubakar; Chunyu Zheng; Chris Dibben; Alan Marshall; David J. Pearce 001; Beatrice Alex (Inf. Process. Manag., 2025)