Abstract

This paper focuses on a method for the stylistic segmentation of text documents. Our technique involves mapping the change in a feature throughout a text. We use the linguistic features of conjunction and modality, through taxonomies from Systemic Functional Linguistics. This segmentation has applications in automated summarization, particularly of large documents.

Keywords:
Automatic summarization Computer science Natural language processing Segmentation Conjunction (astronomy) Modality (human–computer interaction) Feature (linguistics) Artificial intelligence Linguistics Information retrieval Systemic functional linguistics

Metrics

2
Cited By
0.39
FWCI (Field Weighted Citation Impact)
9
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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