Recent work on the transfer of semantic information across languages has been recently applied to the development of resources annotated with Frame information for different non-English European languages. These works are based on the assumption that parallel corpora annotated for English can be used to transfer the semantic information to the other target languages. In this paper, a robust met...

Usually, in the Kripke semantics for intuitionistic propositional logic (or for superintuitionistic logics) partially ordered frames are used. Why? In this paper we propose an intrinsically intuitionistic motivation for that. Namely, we show that every Kripke frame (with an arbitrary accessibility relation), whose set of valid formulas is a superintuitionistic logic, is logically equivalent to ...

In this paper we present an analysis of locative alternation phenomena in Russian and English within a frame-based LTAG syntax-semantics interface. The combination of a syntactic theory with an extended domain of locality and frames provides a powerful mechanism for argument linking. Furthermore, the concept of tree families and unanchored trees in LTAG allows for a decomposition of meaning int...

We outline the logic of current approaches to the so-called “frame problem” (that is, the problem of predicting change in the physical world by using logical inference), and we show that these approaches are not completely extensional since none of them is closed under uniform substitution. The underlying difficulty is something known, in the philosophical community, as Goodman’s “new riddle of...

This work intends to illustrate some of the contributions the semantic theory known as ‘Frame Semantics’ can make to the translation of cultural elements. The study starts by defining the objectives and basic concepts that constitute our model of analysis. Secondly, a typology of frames for the analysis of our examples is proposed. Later on, this typology is applied to the analysis of a number ...

One severe problem in frame-based description languages in that computing subsumytion in computationally intractable for languages of reasonable expressive power. Several partial solutions to this problem are used in knowledge representation systems that incorporate such languages, but none of these solutions are satisfactory if the system is to be of general use in representing knowledge. A ne...

Models of lexical semantics are core paradigms in most NLP applications, such as dialogue, information extraction and document understanding. Unfortunately, the coverage of currently available resources (e.g. FrameNet) is still unsatisfactory. This paper presents a largely applicable approach for extending frame semantic resources, combining word sense information derived fromWordNet and corpus...

We investigate authorship attribution using classifiers based on frame semantics. The purpose is to discover whether adding semantic information to lexical and syntactic methods for authorship attribution will improve them, specifically to address the difficult problem of authorship attribution of translated texts. Our results suggest (i) that frame-based classifiers are usable for author attri...

The field of medicine gathers actors with different levels of expertise. These actors must interact, although their mutual understanding is not always completely successful. We propose to study corpora (with high and low levels of expertise) in order to observe their specificities. More specifically, we perform a contrastive analysis of verbs, and of the syntactic and semantic features of their...

Knowledge representation languages that combine rules with object-oriented features akin to frame systems have recently attracted a lot of research interest, and F-logic is widely seen as a basis to achieve this integration. In this paper we extend the original F-logic formalism with an array of salient features that are essential for representing and reasoning with commonsense knowledge. In pa...