Automatic Identification of Suicide Notes from Linguistic and Sentiment Features. - Annika Marie Schoene; Nina Dethlefs (LaTeCH@ACL, 2016)

Evolutionary Constraint in Artificial Gene Regulatory Networks. - Alexander P. Turner; George Lacey; Annika Marie Schoene; Nina Dethlefs (UKCI, 2018)

Dilated LSTM with attention for Classification of Suicide Notes. - Annika Marie Schoene; George Lacey; Alexander P. Turner; Nina Dethlefs (LOUHI@EMNLP, 2019)

Modularity Within Artificial Gene Regulatory Networks. - George Lacey; Annika Marie Schoene; Nina Dethlefs; Alexander P. Turner (CEC, 2019)

Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media. - Annika Marie Schoene; Geeth de Mel (FUSION, 2019)

Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data. - Annika Marie Schoene (AAAI, 2020)

Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets. - Annika Marie Schoene; Alexander P. Turner; Nina Dethlefs (AffCon@AAAI, 2020)

Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. - George Lacey; Annika Marie Schoene; Nina Dethlefs; Alexander P. Turner (IJCCI, 2020)

A divide-and-conquer approach to neural natural language generation from structured data. - Nina Dethlefs; Annika Marie Schoene; Heriberto Cuayáhuitl (Neurocomputing, 2021)

Deep learning with knowledge graphs for fine-grained emotion classification in text. - Annika Marie Schoene (2021)

RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification. - Annika Marie Schoene; Nina Dethlefs; Sophia Ananiadou (LREC, 2022)

Natural language processing applied to mental illness detection: a narrative review. - Tianlin Zhang; Annika Marie Schoene; Shaoxiong Ji; Sophia Ananiadou (npj Digit. Medicine, 2022)

An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection. - Annika Marie Schoene; John E. Ortega; Silvio Amir; Kenneth Church 001 (ICWSM, 2023)

Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks. - Annika Marie Schoene; Lana Bojanic; Minh-Quoc Nghiem; Isabelle M. Hunt; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2023)

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. - Annika Marie Schoene; Alexander P. Turner; Geeth de Mel; Nina Dethlefs (IEEE Trans. Affect. Comput., 2023)

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable. - Kenneth Church 001; Annika Marie Schoene; John E. Ortega; Raman Chandrasekar; Valia Kordoni (Nat. Lang. Eng., 2023)

MEANT: Multimodal Encoder for Antecedent Information. - Benjamin Irving; Annika Marie Schoene (EMNLP, 2024)

Is it safe to machine translate suicide-related language from English to Galician? - John E. Ortega; Annika Marie Schoene (PROPOR (1), 2024)

Why the Gaming Industry Needs Responsible AI. - Cansu Canca; Laura Haaber Ihle; Annika Marie Schoene (Games Res. Pract., 2024)

The First Multilingual Model For The Detection of Suicide Texts. - Rodolfo Joel Zevallos Salazar; Annika Marie Schoene; John E. Ortega (COLING Workshops, 2025)

Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language. - Annika Marie Schoene; John E. Ortega; Rodolfo Joel Zevallos Salazar; Laura Haaber Ihle (COLING, 2025)

'For Argument's Sake, Show Me How to Harm Myself!': Jailbreaking LLMs in Suicide and Self-Harm Contexts. - Annika Marie Schoene; Cansu Canca (CoRR, 2025)