2018/10/24 by Gijs Wijnholds, Wijnholds, Gijs Jasper
Computer Science · #Advanced Text Analysis Techniques #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Natural Language Processing Techniques #Topic Modeling
paper · pdf · doi:10.48550/arxiv.1810.10297
openalex publication_date 2018/10/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We investigate the extent to which compositional vector space models can be\nused to account for scope ambiguity in quantified sentences (of the form "Every\nman loves some woman"). Such sentences containing two quantifiers introduce two\nreadings, a direct scope reading and an inverse scope reading. This ambiguity\nhas been treated in a vector space model using bialgebras by (Hedges and\nSadrzadeh, 2016) and (Sadrzadeh, 2016), though without an explanation of the\nmechanism by which the ambiguity arises. We combine a polarised focussed\nsequent calculus for the non-associative Lambek calculus NL, as described in\n(Moortgat and Moot, 2011), with the vector based approach to quantifier scope\nambiguity. In particular, we establish a procedure for obtaining a vector space\nmodel for quantifier scope ambiguity in a derivational way.\n