JOURNAL ARTICLE

Summarization evaluation for text and speech: issues and approaches

Abstract

This paper surveys current text and speech summarization evaluation approaches. It discusses advantages and disadvantages of these, with the goal of identifying summarization techniques most suitable to speech summarization. Precision/recall schemes, as well as summary accuracy measures which incorporate weightings based on multiple human decisions, are suggested as particularly suitable in evaluating speech summaries.

Keywords:
Automatic summarization Computer science Precision and recall Natural language processing Recall Artificial intelligence Multi-document summarization Speech recognition Linguistics

Metrics

61
Cited By
3.14
FWCI (Field Weighted Citation Impact)
25
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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