Using Conceptual Graph to Represent Semantic Relation of Thai Facebook Posts in Marketing

Author(s):  
Kwanrutai Saelim ◽  
Taweewat Luangwiriya ◽  
Rachada Kongkachandra
1995 ◽  
Vol 34 (04) ◽  
pp. 345-351 ◽  
Author(s):  
A. Burgun ◽  
L. P. Seka ◽  
D. Delamarre ◽  
P. Le Beux

Abstract:In medicine, as in other domains, indexing and classification is a natural human task which is used for information retrieval and representation. In the medical field, encoding of patient discharge summaries is still a manual time-consuming task. This paper describes an automated coding system of patient discharge summaries from the field of coronary diseases into the ICD-9-CM classification. The system is developed in the context of the European AIM MENELAS project, a natural-language understanding system which uses the conceptual-graph formalism. Indexing is performed by using a two-step processing scheme; a first recognition stage is implemented by a matching procedure and a secondary selection stage is made according to the coding priorities. We show the general features of the necessary translation of the classification terms in the conceptual-graph model, and for the coding rules compliance. An advantage of the system is to provide an objective evaluation and assessment procedure for natural-language understanding.


Author(s):  
TRU H. CAO

Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of natural language, where conceptual graphs provide a structure of formulas close to that of natural language sentences while fuzzy logic provides a methodology for computing with words. This paper proposes fuzzy conceptual graphs as a knowledge representation language that combines the advantages of both the two formalisms for artificial intelligence approaching human expression and reasoning. Firstly, the conceptual graph language is extended with functional relation types for representing functional dependency, and conjunctive types for joining concepts and relations. Then fuzzy conceptual graphs are formulated as a generalization of conceptual graphs where fuzzy types and fuzzy attribute-values are used in place of crisp types and crisp attribute-values. Projection and join as basic operations for reasoning on fuzzy conceptual graphs are defined, taking into account the semantics of fuzzy set-based values.


1995 ◽  
Vol 31 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Carol Chapman

In the light of current morphological theory, this paper examines the analogical levelling of long/short vowel oppositions in certain inflectional and derivational alternations in a number of modern Swiss German dialects. The regular occurrence of levelling is shown to depend on the extent to which the alternation in question is ‘perceptually salient’ (Chapman 1994). That is, if the semantic relation between base and derivative is transparent and the derivative is uniformly marked, analogical levelling occurs regularly. On the basis of this evidence it is argued that all morphological alternations, both inflectional and derivational, are listed in the lexicon and that each one is assigned a different status according to its degree of perceptual salience.


2020 ◽  
Vol 71 (1) ◽  
pp. 69-89
Author(s):  
Martin Janečka ◽  
Tereza Kouklíková

Abstract This article deals with the linguistic competition of the possessive genitive and possessive adjectives in contemporary spoken Czech language. It focuses on the differences between the constructions of the type Barbořin byt (Barbora’s flat), byt (naší) Barbory (the flat of (our) Barbora) and (naší) Barbory byt ((our) Barbora’s flat). The paper’s aimis to find out which of the possessive structures are preferred by speakers (and alternatively for what reason) or whether the frequency of their usage is equal. At first, both ways of expressing the possession with all their restrictions are described from the theoretical point of view. Moreover, the semantic relation of possessivity is specified. The next section suggests the influences which may govern the preference of the speaker. Within empirical research, data from the corpus of spoken Czech (ORALv1) are examined and it is seeked for explanation of factors that influence the choice of the structure. This also demonstrates whether one of the possessive structures has a dominant position or whether they occur in similar numbers.


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