May 22 - 24, 2017
Marco Island, Florida, USA
Traditionally, the study of information extraction, knowledge processing and language processing is performed by computer scientists, specializing in the application of computers to the processing of a natural language and large structured or semi-structured data-bases. Information extraction as part of knowledge processing and language processing, as well, must become more connected to the cognitive sciences through the development of cognitive semantic theories. Information extraction as part of knowledge processing is connected to artificial intelligence through the development of methods and algorithms for all aspects of language analysis and their computer implementation. We can see language analysis divided into two parts: theoretical analysis and application. The theoretical aspect includes standard areas studied in linguistics methods as semantics, syntax, and morphology or numerical methods as those used in information retrieval or text-mining. Semantic theories guide the development of lexical theories, syntactic theories and morphology. Semantic theories can be based on some specific features of computation, but at the present stage of research, there is a gap between linguistic analysis and computer applications in two senses: there are many computer applications without linguistic theoretical support and, conversely, there are a number of theoretical methods with no computer implementation. Semantic as part of computational linguistic and language processing is very related to the logic and to logics. If we accept the hypothesis that there is a logic of language and logics of natural languages, the upstream of each algorithm or method representing the basis of a AI system of language analysis is a logic and a semantic. The downstream of semantic analysis can be found in translation, automatic text generation and even automatic annotation of texts or information retrieval. Generally, the knowledge processing and particularly, the information extraction must take into account this epistemological chain for to lead to effective, robust and reliable systems.
User Name : jerish
Posted 20-08-2016 on 11:33:58 AEDT