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Annika M Schoene
Annika M Schoene
Northeastern University
Verified email at northeastern.edu
Title
Cited by
Cited by
Year
Automatic identification of suicide notes from linguistic and sentiment features
AM Schoene, N Dethlefs
Proceedings of the 10th SIGHUM workshop on language technology for cultural …, 2016
362016
Natural language processing applied to mental illness detection: a narrative review
T Zhang, AM Schoene, S Ji, S Ananiadou
NPJ digital medicine 5 (1), 46, 2022
212022
Hierarchical multiscale recurrent neural networks for detecting suicide notes
AM Schoene, A Turner, GR De Mel, N Dethlefs
IEEE Transactions on Affective Computing, 2021
112021
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets.
AM Schoene, AP Turner, N Dethlefs
AffCon@ AAAI, 100-117, 2020
102020
Automatic identification of suicide notes with a transformer-based deep learning model
T Zhang, AM Schoene, S Ananiadou
Internet interventions 25, 100422, 2021
92021
A divide-and-conquer approach to neural natural language generation from structured data
N Dethlefs, A Schoene, H Cuayįhuitl
Neurocomputing 433, 300-309, 2021
82021
Dilated lstm with attention for classification of suicide notes
AM Schoene, G Lacey, AP Turner, N Dethlefs
Proceedings of the tenth international workshop on health text mining and …, 2019
72019
Unsupervised suicide note classification
AM Schoene, N Dethlefs
WISDOM'18 (KDD 2018, August 20th, London UK), 2018
52018
NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding
K Wang, R Stevens, H Alachram, Y Li, L Soldatova, R King, S Ananiadou, ...
NPJ systems biology and applications 7 (1), 38, 2021
32021
A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome
AM Schoene, I Basinas, M van Tongeren, S Ananiadou
International journal of environmental research and public health 19 (14), 8544, 2022
22022
Hybrid approaches to fine-grained emotion detection in social media data
AM Schoene
Twenty-Fifth AAAI/SIGAI Doctoral Consortium, 2020
22020
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification
AM Schoene, N Dethlefs, S Ananiadou
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
12022
Evolutionary constraint in artificial gene regulatory networks
AP Turner, G Lacey, A Schoene, N Dethlefs
Advances in Computational Intelligence Systems: Contributions Presented at …, 2019
12019
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
K Church, A Schoene, JE Ortega, R Chandrasekar, V Kordoni
Natural Language Engineering, 1-26, 2022
2022
Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks
AM Schoene, L Bojanić, MQ Nghiem, IM Hunt, S Ananiadou
IEEE Transactions on Affective Computing, 2022
2022
Natural language processing applied to mental illness detection
T Zhang, AM Schoene, S Ji, S Ananiadou
Nature Publishing Group, 2022
2022
S-490 Exposome methods in occupational epidemiology: Use of text mining for developing Job Exposure Matrices
M van Tongeren, C Ge, E Kuijpers, S Ananiadou, H Tinnerberg, ...
Occupational and Environmental Medicine 78 (Suppl 1), A162-A163, 2021
2021
Deep learning with knowledge graphs for fine-grained emotion classification in text
AM Schoene
University of Hull, 2021
2021
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules.
G Lacey, AM Schoene, N Dethlefs, AP Turner
IJCCI, 167-175, 2020
2020
Dilated LSTM with ranked units for Classification of Suicide Notes
AM Schoene, AP Turner, N Dethlefs
AI for Social Good at NeurIPS, 2019
2019
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