A Hybrid AI Approach for Interpretation of Scientific Online Discourse

Publications

Hafid, S., Schellhammer, S., Bringay, S., Todorov, K., Dietze, S., SciTweets – A Dataset and Annotation Framework for Detecting Scientific Online Discourse, 31st ACM International Conference on Information & Knowledge Management (CIKM2022), resource track, ACM 2022.

Boland, K., Fafalios, P., Tchechmedjiev, A., Dietze, S., Todorov, K., Beyond Facts – a Survey and Conceptualisation of Claims in Online Discourse Analysis, Semantic Web Journal, IOS Press 2021.

Zhu, X., Zhu, L., Guo, J., Liang, S., Dietze, S., GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification, Expert Systems with Applications, Volume 186, 115712, Elsevier, 2021.

Dimitrov, D., Baran, E., Fafalios, P., Yu, R., Zhu, X., Zloch, M., Dietze, S., TweetsCOV19 – A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic, 29th ACM International Conference on Information & Knowledge Management (CIKM2020), ACM 2020

Tchechmedjiev, A., Fafalios, P., Boland, K., Gasquet, M., Zloch, M., Zapilko, B., … & Todorov, K. ClaimsKG: a knowledge graph of fact-checked claims. In International Semantic Web Conference (pp. 309-324). Springer, Cham, 2019.