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2020 – today
- 2024
[j6]Cansu Canca
, Laura Haaber Ihle, Annika Marie Schoene:
Why the Gaming Industry Needs Responsible AI. Games Res. Pract. 2(2): 17:1-17:4 (2024)- [c11]John E. Ortega, Annika Marie Schoene:
Is it safe to machine translate suicide-related language from English to Galician? PROPOR 2024: 558-562 - 2023
- [j5]Kenneth Church, Annika Marie Schoene, John E. Ortega, Raman Chandrasekar, Valia Kordoni:
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable. Nat. Lang. Eng. 29(2): 483-508 (2023) - [j4]Annika Marie Schoene, Alexander P. Turner, Geeth de Mel, Nina Dethlefs:
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. IEEE Trans. Affect. Comput. 14(1): 153-164 (2023) - [j3]Annika Marie Schoene, Lana Bojanic, Minh-Quoc Nghiem, Isabelle M. Hunt, Sophia Ananiadou:
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks. IEEE Trans. Affect. Comput. 14(3): 1791-1802 (2023) - [c10]Annika Marie Schoene, John E. Ortega, Silvio Amir, Kenneth Church:
An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection. ICWSM 2023: 1158-1162 - 2022
- [j2]Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou:
Natural language processing applied to mental illness detection: a narrative review. npj Digit. Medicine 5 (2022) - [c9]Annika Marie Schoene, Nina Dethlefs, Sophia Ananiadou:
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification. LREC 2022: 6317-6327 - 2021
- [b1]Annika Marie Schoene:
Deep learning with knowledge graphs for fine-grained emotion classification in text. University of Hull, Kingston upon Hull, UK, 2021 - [j1]Nina Dethlefs, Annika Marie Schoene, Heriberto Cuayáhuitl:
A divide-and-conquer approach to neural natural language generation from structured data. Neurocomputing 433: 300-309 (2021) - 2020
- [c8]Annika Marie Schoene, Alexander P. Turner, Nina Dethlefs:
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets. AffCon@AAAI 2020: 100-117 - [c7]Annika Marie Schoene:
Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data. AAAI 2020: 13732-13733 - [c6]George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. IJCCI 2020: 167-175
2010 – 2019
- 2019
- [c5]Annika Marie Schoene, George Lacey, Alexander P. Turner, Nina Dethlefs:
Dilated LSTM with attention for Classification of Suicide Notes. LOUHI@EMNLP 2019: 136-145 - [c4]George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Modularity Within Artificial Gene Regulatory Networks. CEC 2019: 731-738 - [c3]Annika Marie Schoene, Geeth de Mel:
Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media. FUSION 2019: 1-7 - 2018
- [c2]Alexander P. Turner, George Lacey, Annika Marie Schoene, Nina Dethlefs:
Evolutionary Constraint in Artificial Gene Regulatory Networks. UKCI 2018: 29-40 - 2016
- [c1]Annika Marie Schoene, Nina Dethlefs:
Automatic Identification of Suicide Notes from Linguistic and Sentiment Features. LaTeCH@ACL 2016
Coauthor Index
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last updated on 2024-09-10 02:10 CEST by the dblp team
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