Analyzing the semantic Representations of 5000 Chinese sentences and describing a new sentence analysis method that evaluates semantic preference knowledge, we create a model of semantic representation analysis based on the correspondence between lexical meanings and conceptual structures, and relations that underlie those lexical meanings. We also propose a semantical argument-head relation th...

This document provides a description of the Language Computer Corporation (LCC) SRN System that participated in the SemEval 2007 Semantic Relation between Nominals task. The system combines the outputs of different binary and multi-class classifiers build using machine learning algorithms like Decision Trees, Semantic Scattering, Iterative Semantic Specialization, and Support Vector Machines.

In this paper we present an approach aimed at enriching the Open Information Extraction paradigm with semantic relation ontologization by integrating syntactic and semantic features into its workflow. To achieve this goal, we combine deep syntactic analysis and distributional semantics using a shortest path kernel method and soft clustering. The output of our system is a set of automatically di...

Semantic Web techniques bring us help in many fields. In this paper, we propose a way to use Semantic Matching on access control. We illustrate the motivation with an eBusiness access control schema based onRelBAC (for Relation Based Access Control). Semantic Matching techniques are applied on the lightweight ontologies of the subjects and the objects to find the semantic similarities that can ...

Introduction NPs like other constituents generally have syntactic functions that are associated with specific interpretations. They may not only have one such semantically relevant syntactic function, but also a combination of them. Syntacticians have traditionally directed their attention to only a certain number of semantically relevant syntactic functions of NPs, in particular to the status ...

In this paper, we propose a general methodology for designing semantic role/ relation system. Based on this methodology, we establish a succinct semantic relation system for consecutive predicative constituents for Chinese, which includes serial verb construction, discourse construction, and other constructions describing serial events. This semantic relation system has 13 middle-level classes ...

We propose a new semantic relation of intensity for gradable adjectives in WordNet and show its specific benefits for NLP. Intensity enriches the present, vague, similar relation with information on the degree with which different adjectives express a shared attribute. Using lexical-semantic patterns, we mine the Web for evidence of the relative strength of adjectives like “large”, “huge” and “...

A semantics-based framework is presented for the definition and manipulation of class hierarchies for object-oriented languages. The framework is based on the notion of observable of a class, i.e., an abstraction of its semantics when focusing on a behavioral property of interest. We define a semantic subclass relation, capturing the fact that a subclass preserves the behavior of its superclass...

In the framework of the Papillon project, we have defined strategies for populating a pivot dictionnary of interlingual links from monolingual vectorial bases. There are quite a number of acception per entry thus, the proper identification may be quite troublesome and some added clues beside acception links may be usefull. We improve the integrity of the acception base through welsl known seman...

In this paper we provide a semantic characterization of ground logics, a family of nonmonotonic modal logics obtained by means of a variant of the well known Mc Dermott and Doyle xed point equation. The term ground logics carries the idea of restricting the negative in-trospection capabilities of the reasoning agent to the objective (i.e. non modal) part of the theory. This intuition was nicely...