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Алгоритмы аннотирования результата семантического анализа документа в формате AMR

выпускная квалификационная работа магистра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2018 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v18-1131

Алгоритмы аннотирования результата семантического анализа документа в формате AMR

Abstract

В данной работе изложены результаты исследования алгоритма построения AMR-графов как формы представления абстрактного смысла предложений на естественном языке. Цель исследования – оценки качества аннотаций предложений, имеющих отношение к предметной области «Информатика». Основное внимание уделяется JAMR – исторически первому алгоритму аннотирования предложений AMR-графами. Приводится подробное описание этого относительно нового формализма, включая как теоретические аспекты алгоритма JAMR, так и высокоуровневые механизмы реализации алгоритма. Для получения искомых оценок вручную был подготовлен корпус из 400 предложений, аннотированых эталонными AMR графами и синтаксическими деревьями зависимостей.

Keywords

тексты, естественный язык, Графов теория, Алгоритмы, семантический анализ

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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