Paper: Nouns are Vectors Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space

ACL ID D10-1115
Title Nouns are Vectors Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

We propose an approach to adjective-noun composition (AN) for corpus-based distribu- tional semantics that, building on insights from theoretical linguistics, represents nouns as vectors and adjectives as data-induced (lin- ear) functions (encoded as matrices) over nominal vectors. Our model significantly out- performs the rivals on the task of reconstruct- ing AN vectors not seen in training. A small post-hoc analysis further suggests that, when the model-generated AN vector is not simi- lar to the corpus-observed AN vector, this is due to anomalies in the latter. We show more- over that our approach provides two novel ways to represent adjective meanings, alter- native to its representation via corpus-based co-occurrence vectors, both outperforming the latter in an adjective clustering t...