Introduces SimLex-999, a gold standard for semantic similarity, covering multiple POS and abstract/concrete concepts, outperforming WordSim-353 and MEN.

Felix Hill, Roi Reichart, Anna Korhonen

Turney’s dual-space model unifies analogy and composition through domain/function cosine similarities; the supplied text omits numerical scores.

Peter D. Turney

Introduces a Linearized Phrase Structure model to improve semantic orientation detection in financial texts.

Pekka Malo, Ankur Sinha, Pyry Takala et al.

Proposes two efficient models—CBOW and Skip-gram—for large-scale word embedding training, achieving 53.3% accuracy on semantic-syntactic tasks within 3 days on 1.6B words.

Tomas Mikolov, Kai Chen, Greg Corrado et al.

Joint language-perception model using probabilistic grammar and classifiers significantly improves grounded attribute learning, achieving 82% precision in object set selection.

Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer et al.