38 citations · 238 across the 42 of their papers we have counts for
5 papers · 1 filter
Erratum: Link prediction in drug-target interactions network using similarity indices
Yiding Lu, Yufan Guo, Anna Korhonen
Background: In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing drugs. One popular method of dru…
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Ivan Vulić, Nikola Mrkšić, Anna Korhonen
Existing approaches to automatic VerbNet-style verb classification are heavily dependent on feature engineering and therefore limited to languages with mature NLP pipelines. In thi…
Decoding Sentiment from Distributed Representations of Sentences
Edoardo Maria Ponti, Ivan Vulić, Anna Korhonen
Distributed representations of sentences have been developed recently to represent their meaning as real-valued vectors. However, it is not clear how much information such represen…
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Ivan Vulić, Nikola Mrkšić, Roi Reichart +3
Morphologically rich languages accentuate two properties of distributional vector space models: 1) the difficulty of inducing accurate representations for low-frequency word forms;…
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha +5
We present Attract-Repel, an algorithm for improving the semantic quality of word vectors by injecting constraints extracted from lexical resources. Attract-Repel facilitates the u…