Korhonen, Anna

Learning Distributed Representations of Sentences from Unlabelled Data

Hill, F., Cho, K., & Korhonen, A. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 566

A neural network multi-task learning approach to biomedical named entity recognition

Crichton, G., Pyysalo, S., Chiu, B., & Korhonen, A. (2017) · BMC Bioinformatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 229

A systematic literature review of automatic Alzheimer’s disease detection from speech and language

Petti, U., Baker, S., & Korhonen, A. (2020) · Journal of the American Medical Informatics Association

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 168

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Vulić, I., Gerz, D., Kiela, D., Hill, F., & Korhonen, A. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 90

Dependency parsing of learner English

Huang, Y., Murakami, A., Alexopoulou, T., & Korhonen, A. (2018) · International Journal of Corpus Linguistics

Natural Language Processing TechniquesSecond Language Acquisition and Learning

Cited by 68

LION LBD: a literature-based discovery system for cancer biology

Pyysalo, S., Baker, S., Ali, I., Haselwimmer, S., Shah, T., Young, A., Guo, Y., Högberg, J., Stenius, U., Narita, M., et al. (2019) · Bioinformatics

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 65

Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models

Schellaert, W., Martínez-Plumed, F., Vold, K., Burden, J., A. M. Casares, P., Sheng Loe, B., Reichart, R., Ó hÉigeartaigh, S., Korhonen, A., & Hernández-Orallo, J. (2023) · Journal of Artificial Intelligence Research

Multimodal Machine Learning ApplicationsArtificial Intelligence Applications

Cited by 19

Ethical considerations in the early detection of Alzheimer's disease using speech and AI

Petti, U., Nyrup, R., Skopek, J. M., & Korhonen, A. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDementia and Cognitive Impairment Research

Cited by 16

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners

Li, C., Zhang, C., Zhou, H., Collier, N., Korhonen, A., & Vulić, I. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 12

Are Large Language Model Temporally Grounded?

Qiu, Y., Zhao, Z., Ziser, Y., Korhonen, A., Ponti, E., & Cohen, S. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 9

Are Large Language Models Temporally Grounded?

Qiu, Y., Zhao, Z., Ziser, Y., Korhonen, A., Ponti, E. M., & Cohen, S. B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies

Zhou, H., Wan, X., Sun, R., Palangi, H., Iqbal, S., Vulić, I., Korhonen, A., & Arık, S. Ö. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 0