26 citations · 38 across the 5 of their papers we have counts for
4 papers · 1 filter
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian
Navid Rekabsaz, Mihai Lupu, Allan Hanbury +1
We explore the use of unsupervised methods in Cross-Lingual Word Sense Disambiguation (CL-WSD) with the application of English to Persian. Our proposed approach targets the languag…
Toward Incorporation of Relevant Documents in word2vec
Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu +1
Recent advances in neural word embedding provide significant benefit to various information retrieval tasks. However as shown by recent studies, adapting the embedding models for t…
Character-based Neural Embeddings for Tweet Clustering
Svitlana Vakulenko, Lyndon Nixon, Mihai Lupu
In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks. The proposed approach overcomes the limitations related…
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Navid Rekabsaz, Mihai Lupu, Artem Baklanov +3
Volatility prediction--an essential concept in financial markets--has recently been addressed using sentiment analysis methods. We investigate the sentiment of annual disclosures o…