Annika Marie Schoene

25 papers A* 2A 1B 3C 2Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
'For Argument's Sake, Show Me How to Harm Myself!': Jailbreaking LLMs in Suicide and Self-Harm Contexts.
CoRR
Annika Marie Schoene, Cansu Canca
2025 B conf
Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language.
COLING
Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos Salazar, Laura Haaber Ihle
2025 — conf
The First Multilingual Model For The Detection of Suicide Texts.
COLING Workshops
Rodolfo Joel Zevallos Salazar, Annika Marie Schoene, John E. Ortega
2024 — conf
Is it safe to machine translate suicide-related language from English to Galician?
PROPOR (1)
John E. Ortega, Annika Marie Schoene
2024 J jnl
Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language.
CoRR
Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos Salazar, Laura Haaber Ihle
2024 A* conf
MEANT: Multimodal Encoder for Antecedent Information.
EMNLP
Benjamin Irving, Annika Marie Schoene
2024 J jnl
MEANT: Multimodal Encoder for Antecedent Information.
CoRR
Benjamin J. Irving, Annika Marie Schoene
2024 J jnl
The First Multilingual Model For The Detection of Suicide Texts.
CoRR
Rodolfo Zevallos, Annika Marie Schoene, John E. Ortega
2024 J jnl
Why the Gaming Industry Needs Responsible AI.
Games Res. Pract.
Cansu Canca, Laura Haaber Ihle, Annika Marie Schoene
2023 A conf
An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection.
ICWSM
Annika Marie Schoene, John E. Ortega, Silvio Amir, Kenneth Church
2023 J jnl
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks.
IEEE Trans. Affect. Comput.
Annika Marie Schoene, Lana Bojanic, Minh-Quoc Nghiem, Isabelle M. Hunt, Sophia Ananiadou
2023 J jnl
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable.
Nat. Lang. Eng.
Kenneth Church, Annika Marie Schoene, John E. Ortega, Raman Chandrasekar, Valia Kordoni
2023 J jnl
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes.
IEEE Trans. Affect. Comput.
Annika Marie Schoene, Alexander P. Turner, Geeth de Mel, Nina Dethlefs
2022 J jnl
Natural language processing applied to mental illness detection: a narrative review.
npj Digit. Medicine
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou
2022 B conf
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification.
LREC
Annika Marie Schoene, Nina Dethlefs, Sophia Ananiadou
2021 J jnl
A divide-and-conquer approach to neural natural language generation from structured data.
Neurocomputing
Nina Dethlefs, Annika Marie Schoene, Heriberto Cuayáhuitl
2021 — —
Deep learning with knowledge graphs for fine-grained emotion classification in text.
Annika Marie Schoene
2020 — conf
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets.
AffCon@AAAI
Annika Marie Schoene, Alexander P. Turner, Nina Dethlefs
2020 A* conf
Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data.
AAAI
Annika Marie Schoene
2020 C conf
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules.
IJCCI
George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner
2019 — conf
Dilated LSTM with attention for Classification of Suicide Notes.
LOUHI@EMNLP
Annika Marie Schoene, George Lacey, Alexander P. Turner, Nina Dethlefs
2019 B conf
Modularity Within Artificial Gene Regulatory Networks.
CEC
George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner
2019 C conf
Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media.
FUSION
Annika Marie Schoene, Geeth de Mel
2018 — conf
Evolutionary Constraint in Artificial Gene Regulatory Networks.
UKCI
Alexander P. Turner, George Lacey, Annika Marie Schoene, Nina Dethlefs
2016 — conf
Automatic Identification of Suicide Notes from Linguistic and Sentiment Features.
LaTeCH@ACL
Annika Marie Schoene, Nina Dethlefs