no code implementations • NIDCP (LREC) 2022 • Steinunn Rut Friðriksdóttir, Hafsteinn Einarsson
In this paper, we present a novel approach to data collection for natural language processing (NLP), linguistic research and lexicographic work.
no code implementations • LREC 2022 • Steinunn Rut Friðriksdóttir, Hjalti Daníelsson, Steinþór Steingrímsson, Einar Sigurdsson
Word embedding models have become commonplace in a wide range of NLP applications.
no code implementations • DCLRL (LREC) 2022 • Steinunn Rut Friðriksdóttir, Valdimar Ágúst Eggertsson, Benedikt Geir Jóhannesson, Hjalti Daníelsson, Hrafn Loftsson, Hafsteinn Einarsson
We describe our approach of using a multilingual entity linking model (mGENRE) in combination with Wikipedia API Search (WAPIS) to label our data and compare it to an approach using WAPIS only.