JOURNAL ARTICLE

Abstractive Text Summarization Using Hybrid Methods

Gautam DagaSubhradeep SahaYash ShahS. Jaya Nirmala

Year: 2022 Journal:   2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)

Abstract

Text summarization involves the process of constructing a concise, condensed, short, coherent, and fluent summarized version of a comparatively longer document with more text and involves the process of collection and segregation of the text's major note points. There are broadly two different kinds of approaches that can be used for the process of text summarization - a) Extractive Summarization(selects important sentences as a subset of original text) and b) Abstractive Summarization(introduces new words to create a meaning summary). Hybrid methods try to incorporate a combination of both the above models, extractive and abstractive to summarize the text where the final summary can either be abstractive or extractive based on the relative positioning of the two models.

Keywords:
Automatic summarization Computer science Text graph Natural language processing Process (computing) Information retrieval Meaning (existential) Artificial intelligence Multi-document summarization Source text Psychology

Metrics

3
Cited By
0.35
FWCI (Field Weighted Citation Impact)
0
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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