49 citations · 81 across the 3 of their papers we have counts for
3 papers
Enhanced word embeddings using multi-semantic representation through lexical chains
Terry Ruas, Charles Henrique Porto Ferreira, William Grosky +2
The relationship between words in a sentence often tells us more about the underlying semantic content of a document than its actual words, individually. In this work, we propose t…
Multi-sense embeddings through a word sense disambiguation process
Terry Ruas, William Grosky, Akiko Aizawa
Natural Language Understanding has seen an increasing number of publications in the last few years, especially after robust word embeddings models became prominent, when they prove…
Why Machines Cannot Learn Mathematics, Yet
André Greiner-Petter, Terry Ruas, Moritz Schubotz +3
Nowadays, Machine Learning (ML) is seen as the universal solution to improve the effectiveness of information retrieval (IR) methods. However, while mathematics is a precise and ac…