173 research outputs found
Norm Based Causal Reasoning in Textual Corpus
Truth based entailments are not sufficient for a good comprehension of NL. In
fact, it can not deduce implicit information necessary to understand a text. On
the other hand, norm based entailments are able to reach this goal. This idea
was behind the development of Frames (Minsky 75) and Scripts (Schank 77, Schank
79) in the 70's. But these theories are not formalized enough and their
adaptation to new situations is far from being obvious. In this paper, we
present a reasoning system which uses norms in a causal reasoning process in
order to find the cause of an accident from a text describing it
About Norms and Causes
Knowing the norms of a domain is crucial, but there exist no repository of
norms. We propose a method to extract them from texts: texts generally do not
describe a norm, but rather how a state-of-affairs differs from it. Answers
concerning the cause of the state-of-affairs described often reveal the
implicit norm. We apply this idea to the domain of driving, and validate it by
designing algorithms that identify, in a text, the "basic" norms to which it
refers implicitly
Why did the accident happen? A norm-based reasoning approach
In this paper we describe an architecture of a system that answer the question : Why did the accident happen? from the textual description of an accident. We present briefly the different parts of the architecture and then we describe with more detail the semantic part of the system i.e. the part in which the norm-based reasoning is performed on the explicit knowlege extracted from the text
Raisonnement stratifi\'{e} \`{a} base de normes pour inf\'{e}rer les causes dans un corpus textuel
To understand texts written in natural language (LN), we use our knowledge
about the norms of the domain. Norms allow to infer more implicit information
from the text. This kind of information can, in general, be defeasible, but it
remains useful and acceptable while the text do not contradict it explicitly.
In this paper we describe a non-monotonic reasoning system based on the norms
of the car crash domain. The system infers the cause of an accident from its
textual description. The cause of an accident is seen as the most specific norm
which has been violated. The predicates and the rules of the system are
stratified: organized on layers in order to obtain an efficient reasoning
Bidirected minimum Manhattan network problem
In the bidirected minimum Manhattan network problem, given a set T of n
terminals in the plane, we need to construct a network N(T) of minimum total
length with the property that the edges of N(T) are axis-parallel and oriented
in a such a way that every ordered pair of terminals is connected in N(T) by a
directed Manhattan path. In this paper, we present a polynomial factor 2
approximation algorithm for the bidirected minimum Manhattan network problem.Comment: 14 pages, 16 figure
Cadres argumentatifs avec nécessités
Session "Posters"National audienceDans ce papier, nous introduisons les cadres argumentatifs avec nécessités (CANs), une extension des cadres argumentatifs de Dung (CAs) qui prend en compte une relation de nécessité comme sorte de support entre arguments (un argument est nécessaire pour un autre). Nous redéfinissons les sémantiques d'acceptabilité pour ces cadres étendus et nous montrons que la relation de nécessité assure une correspondance directe et immédiate entre un fragment des programmes logiques (PLs) et les CANs. Nous introduisons ensuite une généralisation des CANs qui étend la relation de nécessité pour lui permettre de porter sur des ensembles d'arguments. Nous présentons une adaptation naturelle des sémantiques d'acceptabilité à ce nouveau contexte et nous montrons que ce cadre généralisé permet de capter des PLs arbitraires
Recherche locale haute performance pour la planification des interventions à France Télécom
National audienceDans cette note, nous présentons les travaux de recherche et développement que nous avons réalisés dans le cadre du Challenge ROADEF 2007. Le sujet de la compétition, proposé par France Télécom, consiste en la planification des interventions de maintenance et des équipes de techniciens nécessaires à leurs réalisations. Le problème considéré est un problème d'optimisation combinatoire difficile à plusieurs titres : il contient plusieurs sous-problèmes NP-difficiles et son échelle (des centaines d'interventions et de techniciens) induit une combinatoire gigantesque. Nous décrivons une heuristique à base de recherche locale permettant de résoudre ce problème de manière effective et efficace ; cet algorithme a été classé 2ème du challenge toutes catégories confondues (sur les 35 équipes ayant soumis leurs travaux). En outre, de ce travail transparaît une méthodologie pour la mise en œuvre d'heuristiques à base de recherche locale hautement performantes
In-vitro Antioxidant and anti-inflammatory activities valorisation of tannin crude extract of Helianthemum helianthemoïdes (Desf.) Grosser
Plants have always been used by humans to relieve and cure many diseases unfortunately the majority of them still unknown. The aims of this study were to evaluate the antioxidant and anti-inflammatory properties of tannin crude extract of Helianthemum helianthemoïdes (Desf.) Grosser. The antioxidant activity was performed by DPPH radical scavenging method and the reducing power essay; however, the anti-inflammatory activity was tested with the Human Red Blood Cell (HRBC) membrane stabilization method. The obtained results indicated high antioxidant potential and a perfect anti-inflammatory agent.
Keywords: Helianthemum helianthemoïdes; DPPH; reducing power; HRB
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