The dynamic approach posits that a presupposition must be satisfied in its local context. But how is a local context derived from the global one? Extant dynamic analyses must specify in the lexical entry of any operator what its ‘context change potential’ is, and for this very reason they fail

of the retrieved documents are relevant. We propose a new technique, called local context analysis, which selects expansion terms based on cooccurrence with the query terms within the top-ranked documents. Experiments on a number of collections, both English and non-English, show that local context analysis offers

Abstract: Stalnaker (1974, 1979) made two seminal claims about presuppositions. The most influential one was that presupposition projection is computed by a pragmatic mechanism based on a notion of ‘local context’. Due to conceptual and technical difficulties, however, the latter notion

Abstract: In the last thirty years, the problem of presupposition projection has been taken to provide a decisive argument for a dynamic approach to meaning, one in which expressions are not evaluated with respect to the ‘global ’ context of utterance, but rather with respect to a ‘local context

Abstract: In this note, we reconstruct some results of the DRT analysis of presupposition projection within the theory of local contexts of Schlenker 2009. The latter offered a way to annotate every sentence with variables that denote the various local context sets that play a crucial role in Heim

In this paper we compare the performance of descriptors computed for local interest regions, as for example extracted by the Harris-Affine detector [32]. Many different descriptors have been proposed in the literature. However, it is unclear which descriptors are more appropriate and how

global analysis techniques, such as word context and phrase structure, on the local set of documents produces results that are both more effective and more predictable than simple local feedback. 1 Introduction The problem of word mismatch is fundamental to information retrieval. Simply stated, it means

by the detector. For that purpose, we employ a regression to predict possible object scales and locations by exploiting the local context of an image. Furthermore, we show how a priori information, if available, can be integrated to improve the prediction. The experimental results on three datasets including

]). The goal of this paper is to show that this architectural assumption needs to be revised. Building on data first discovered by Percus [28], I will argue that MP is a formal principle that is checked in the local context of each embedded sentence (Local MP). Further evidence in favour of Local MP will come

not require a sense-tagged corpus and exploits the fact that two different words are likely to have similar meanings if they occur in identical local contexts.