Constructing semantic space models from parsed corpora Export

@misc{citeulike:1877724, abstract = {Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations.}, author = {Pado, S. and Lapata, M.}, citeulike-article-id = {1877724}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.4712}, keywords = {dependency, models, parsing, semantic, space, syntactic}, posted-at = {2007-11-07 14:17:31}, priority = {0}, title = {Constructing semantic space models from parsed corpora}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.4712}, year = {2003} }

TY - GEN ID - citeulike:1877724 L3 - citeulike-article-id:1877724 N2 - Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations. TI - Constructing semantic space models from parsed corpora KW - dependency KW - models KW - parsing KW - semantic KW - space KW - syntactic AU - Pado, S AU - Lapata, M PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.4712 ER -