I'm a Postdoctoral Researcher at the EdinburghNLP group (part of the Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh). I am currently working in collaboration with Prof. Mirella Lapata and Megagon Labs.
My research focuses on neural models for text understanding with applications on sentiment analysis, summarization, question answering and information retrieval.
I succesfully completed my PhD in April 2019, under the supervision of Prof. Mirella Latapa and Prof. Charles Sutton (Thesis: "Weakly Supervised Sentiment Analysis and Opinion Extraction", to be published soon). Before my PhD, I obtained a MSc in Artificial Intelligence with distinction from the University of Edinburgh. My MSc Thesis was supervised by Prof. Victor Lavrenko. I received my undergraduate degree on Informatics and Telecommunucations from the National and Kapodistrian University of Athens.
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised.
Stefanos Angelidis, Mirella Lapata. 2018. In EMNLP 2018.
[ bibtex ] [ Appendix ] [ data + code ] [ slides ]
Multiple Instance Learning Networks for Fine-grained Sentiment Analysis.
Stefanos Angelidis, Mirella Lapata. In Transactions of the Association for Computational Linguistics (TACL) vol. 6, 2018.
[ bibtex ] [ data ] [ code ] [ slides ] [ video ]
Document Embeddings with Context Sampling.
Stefanos Angelidis, Victor Lavrenko, Mirella Lapata. Presented Poster. Language @ Edinburgh, June 2016.
Learning to Segment Web-Pages Using Repeat Analysis.
Stefanos Angelidis. MSc Thesis. Supervised by Victor Lavrenko.