We will do all we can to make sure that the relationship that you have with The Open University is a positive one.
We will do all we can to treat you as an individual, whether you are contacting to give us some good news or to raise a problem. Please also be assured that we will not share, sell or give your details to anyone.
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.
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.