КФУ. Карточка публикации. Extracting Frame-Like Structures from Google Books NGram Dataset

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EXTRACTING FRAME-LIKE STRUCTURES FROM GOOGLE BOOKS NGRAM DATASET

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2014

Авторы, сотрудники КФУ

Иванов Владимир Владимирович, автор

Библиографическое описание на языке оригинала

Ivanov V. Extracting Frame-Like Structures from Google Books NGram Dataset //Human-Inspired Computing and Its Applications. – Springer International Publishing, 2014. – С. 18-27.

Аннотация

We propose a method that facilitates a process of semi-automatic FrameNet construction. The method requires Google Books NGram dataset and WordNet or another thesaurus for a particular language. We evaluated the method for Russian ngrams. Due to a huge amount of available data the method does not require sophisticated natural language processing techniques (eg for word sense disambiguation), and it shows a promising result.

Ключевые слова

information extraction, natural language processing

Название журнала

Lecture Notes in Computer Science

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https://repository.kpfu.ru/?p_id=93637

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Иванов Владимир Владимирович	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Ivanov V. Extracting Frame-Like Structures from Google Books NGram Dataset //Human-Inspired Computing and Its Applications. – Springer International Publishing, 2014. – С. 18-27.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=93637	ru_RU
dc.description.abstract	Lecture Notes in Computer Science	ru_RU
dc.description.abstract	We propose a method that facilitates a process of semi-automatic FrameNet construction. The method requires Google Books NGram dataset and WordNet or another thesaurus for a particular language. We evaluated the method for Russian ngrams. Due to a huge amount of available data the method does not require sophisticated natural language processing techniques (eg for word sense disambiguation), and it shows a promising result.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	information extraction	ru_RU
dc.subject	natural language processing	ru_RU
dc.title	Extracting Frame-Like Structures from Google Books NGram Dataset	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU