no code implementations • EMNLP (NLP-COVID19) 2020 • Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis
Ever since the COVID-19 pandemic broke out, the academic and scientific research community, as well as industry and governments around the world have joined forces in an unprecedented manner to fight the threat.
no code implementations • 24 Apr 2023 • Hosein Azarbonyad, Zubair Afzal, George Tsatsaronis
In this paper, we describe Topic Pages, an inventory of scientific concepts and information around them extracted from a large collection of scientific books and journals.
no code implementations • WS 2017 • Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius Doornenbal, Michelle Gregory
In this paper we present a solution for tagging funding bodies and grants in scientific articles using a combination of trained sequential learning models, namely conditional random fields (CRF), hidden markov models (HMM) and maximum entropy models (MaxEnt), on a benchmark set created in-house.