Title :
Representation of semantically cohesive sentence fragments in scientific and technical texts
Author :
Vishnyakov, Renat ; Vishnyakov, Yury
Author_Institution :
Fac. of Autom. & Comput. Eng., Southern Fed. Univ., Taganrog, Russia
Abstract :
The paper presents a formal sentence model of scientific and technical texts to be used in the process of semantic interpretation. The model is based on the word dependencies, formed by sequences of word combinations that are called dependency chains. Characteristic word sets are defined within the dependency chains and the discriminated transitive closure of direct dependence as well as its notation in the form of the incidence matrix are assigned. The procedures and algorithms of semantically cohesive sentence fragments detection are constructed on the basis of the introduced concepts.
Keywords :
matrix algebra; natural language processing; text analysis; characteristic word sets; dependency chains; direct dependence; formal sentence model; incidence matrix; scientific text; semantic interpretation; semantically cohesive sentence fragment representation; semantically cohesive sentence fragments detection; technical text; transitive closure; word combination sequences; word dependency; Algorithm design and analysis; Computational modeling; Educational institutions; Informatics; Machine intelligence; Natural languages; Semantics; dependence chain; incidence matrix; scientific and technical texts; semantic interpretation; transitive closure of direct dependence; word set;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4799-3441-6
DOI :
10.1109/SAMI.2014.6822425
