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PhD Research Student
My PhD focuses on exploring how computational methods and specifically computational argumentation mining can help to improve the current state of online discussion. I am looking into ways to improve participants' sensemaking and the overall quality of debate happening online.
Used to work in the world's largest full text open access dataset of scholar ly publications (https://core.ac.uk) and I am a strong advocate of Open Access and Open Science in general.
sensemaking, argumentation mining, collective intelligense
Gyawali, Bikash , Anastasiou, Lucas and Knoth, Petr(2020). Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings. In: Proceedings of The 12th Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, pp. 894–903.
Labropoulou, Penny, Galanis, Dimitrios, Lempesis, Antonis, Greenwood, Mark,Knoth, Petr, Eckart de Castilho, Richard, Sachtouris, Stavros, Georgantopoulos, Byron,Anastasiou, Lucas, Martziou, Stefania, Katerina, Gkirtzou, Manola, Natalia and Piperidis, Stelios ,(2018). OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content. In: WOSP 2018 Workshop Proceedings, European Language Resources Association (ELRA), Luxemburg.
Cancellieri, Matteo, Pontika, Nancy, Pearce, Samuel, Anastasiou, Lucas and Knoth, Petr(2017). Building scalable digital library ingestion pipelines using microservices. In: MSTR 2017: 11th International Conference on Metadata and Semantics Research, 28 Nov - 1 Dec 2017, Tallinn, Estonia.
Knoth, Petr, Anastasiou, Lucas, Charalampous, Aristotelis , Cancellieri, Matteo, Pearce, Samuel, Pontika, Nancy and Bayer, Vaclav(2017). Towards effective research recommender systems for repositories. In: Open Repositories 2017, 26-30 Jun 2017, Brisbane, Australia.