no code implementations • LREC 2020 • Iva Marinova, Laska Laskova, Petya Osenova, Kiril Simov, Alex Popov, er
The paper reports on the usage of deep learning methods for improving a Named Entity Recognition (NER) training corpus and for predicting and annotating new types in a test corpus.
no code implementations • RANLP 2019 • Alex Popov, er, Kiril Simov, Petya Osenova
This paper introduces several improvements over the current state of the art in knowledge-based word sense disambiguation.
no code implementations • RANLP 2019 • Alex Popov, er, Jennifer Sikos
Lexical resources such as WordNet (Miller, 1995) and FrameNet (Baker et al., 1998) are organized as graphs, where relationships between words are made explicit via the structure of the resource.
no code implementations • RANLP 2017 • Alex Popov, er
This paper presents a neural network architecture for word sense disambiguation (WSD).