Our colleague Tim Kreutz successfully defended his PhD thesis Tapping the Social Stream: inducing language resources for computational social science. Congratulations dr. Kreutz!
At this year’s EMNLP, the 3rd Workshop on Machine Reading for Question Answering will be held. Maxime De Bruyn won the Best Paper Award with his paper on MFAQ, a multilingual FAQ dataset.
“More Meaning than Meets the Eye: robust and scalable applications of pre-trained representations for biomedical NLP.” This is the title of Pieter Fivez' thesis on information extraction from clinical documents, which he successfully defended. Congratulations dr. Fivez!
Andriy Kosar became a VLAIO Baekeland mandate holder to conduct industrial doctoral research in the field of NLP. The project aims to develop novel techniques for automatic topic detection that overcome the current limitations of traditional topic modeling and keyword extraction methods. The research will be conducted in cooperation with CLiPS (University of Antwerp) and language technology company Textgain under the supervision of Prof. Walter Daelemans and Guy De Pauw. The mandate is sponsored by Flemish Agentschap Innoveren & Ondernemen.
Our colleague Enrique Manjavacas Arévalo successfully defended his PhD thesis on a stunning mix of modern computational approaches applied on the literary "intertextuality" of Medieval religious (Latin) writings. Congratulations dr. Manjavacas!
CLiPS launches VaccinChat, a Dutch chatbot that answers your questions related to Covid-19 vaccines and the Flemish vaccination campaign. Go and try it out at vaccinchat.be.
Before joining the CLiPS research team, Jens obtained a master’s degree in computational psycholinguistics and a bachelor’s degree in linguistics & literature (German-English) at the University of Antwerp. At CLiPS, he will be investigating the application of state of the art NLP methods in the context of e-tendering and monitoring of vaccine-related messages on social media.
Our member Madhumita Sushil successfully defended her PhD on ‘Exploring and Understanding Neural Models for Clinical Tasks’.
His research focuses on possible improvements of topic modeling with neural embeddings.
Before joining us, Andriy received a Master's degree in Artificial Intelligence from KU Leuven with a specialty in Speech and Language Technologies. He has over ten years of experience in commercial software development, mainly helping businesses designing software solutions. During his IT career, he also obtained an MBA.