Inference Method for Natural Language Propositions Involving Fuzzy Quantifiers

Fuzzy Quantifiers: A Natural Language Technique for Data Fusion

Fuzzy quantifiers like ‘almost all’ and ‘about half’ abound in natural language. They are used for describing uncertain facts, quantitative relations and processes. An implementation of these quantifiers can provide expressive and easy-to-use operators for aggregation and data fusion, but also for steering the fusion process on a higher level through a safe transfer of expert-knowledge expresse...

Fuzzy quantifiers in natural language:: semantics and computational models

Principle-Based Interpretation of Natural Language Quantifiers

This paper describes a working prototype that determines possible relative quantifier scopes and pronoun bindings for natural language sentences, with coverage of a variety of problematic cases. The prototype parses a significant fragment of English, positing empty categories and deriving various relationships among constituents in addition to dominance. It applies cross-linguistically valid pr...

Grounding natural language quantifiers in visual attention

The literature on vague quantifiers in English (words like “some”, “many”, etc.) is replete with demonstrations of context effects. Yet little attention has been paid to the issue of where such effects come from. We explore the possibility that such they emanate from a visual attentional bottleneck which limits the accuracy of judgments of number in visual scenes under conditions of time pressu...

Deafault logic, natural language and generalized quantifiers

Default logic [Reiter 80] is now commonly used in artificial intelligence systems and turns out to be one of the major research fields in knowledge representation. One of the first motivations of default logic wan to give a more accurate semantic represem tation to natural language statements of the form: Birds fl~: Mos t birds fly. or~ arguably: Typicall2o; birds lty~ The idea was to define a ...