Annika Marie Schoene

Orcid: 0000-0002-9248-617X

According to our database1, Annika Marie Schoene authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Is it safe to machine translate suicide-related language from English to Galician?
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable.
Nat. Lang. Eng., March, 2023

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes.
IEEE Trans. Affect. Comput., 2023

Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks.
IEEE Trans. Affect. Comput., 2023

An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Natural language processing applied to mental illness detection: a narrative review.
npj Digit. Medicine, 2022

RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Deep learning with knowledge graphs for fine-grained emotion classification in text.
PhD thesis, 2021

A divide-and-conquer approach to neural natural language generation from structured data.
Neurocomputing, 2021

Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media.
Proceedings of the 22th International Conference on Information Fusion, 2019

Modularity Within Artificial Gene Regulatory Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Dilated LSTM with attention for Classification of Suicide Notes.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

Evolutionary Constraint in Artificial Gene Regulatory Networks.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Automatic Identification of Suicide Notes from Linguistic and Sentiment Features.
Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, 2016