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

fYear

2014

fDate

23-25 Jan. 2014

Firstpage

295

Lastpage

298

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SAMI.2014.6822425

Filename

6822425