نتایج جستجو برای: summarization evaluation technique

تعداد نتایج: 1396390  

2004
Josef Steinberger Karel Jezek

In this paper we present the usage of singular value decomposition (SVD) in text summarization. Firstly, we mention the taxonomy of generic text summarization methods. Then we describe principles of the SVD and its possibilities to identify semantically important parts of a text. We propose a modification of the SVD-based summarization, which improves the quality of generated extracts. In the s...

2004
Hal Daumé

Researchers in automatic document summarization have already adopted many techniques from existing machine translation literature. Likewise, there is much that the machine translation community can learn from current research in summarization. Automatic Summarization, by Inderjeet Mani, provides a firm grounding in the primary techniques that have been applied to the summarization task, so that...

2002
Chiori Hori Manabu Okumura

This dissertation proposes a new automatic speech summarization method through word extraction. In this method, a set of words maximizing a summarization score indicating an appropriateness of summarization is extracted from automatically transcribed speech. This extraction is performed according to a target compression ratio using a dynamic programming technique sentence by sentence. The extra...

2014
Hans Moen Juho Heimonen Laura-Maria Murtola Antti Airola Tapio Pahikkala Virpi Terävä Riitta Danielsson-Ojala Tapio Salakoski Sanna Salanterä

Proper evaluation is crucial for developing high-quality computerized text summarization systems. In the clinical domain, the specialized information needs of the clinicians complicates the task of evaluating automatically produced clinical text summaries. In this paper we present and compare the results from both manual and automatic evaluation of computer-generated summaries. These are compos...

2003
Chikashi Nobata Satoshi Sekine Hitoshi Isahara

We report evaluation results for our summarization system and analyze the resulting summarization data for three different types of corpora. To develop a robust summarization system, we have created a system based on sentence extraction and applied it to summarize Japanese and English newspaper articles, obtained some of the top results at two evaluation workshops. We have also created sentence...

Journal: :Mathematics 2022

This study proposes a novel semantic graph embedding-based abstractive text summarization technique for the Arabic language, namely SemG-TS. SemG-TS employs deep neural network to produce summary. A set of experiments were conducted evaluate performance and compare results those popular baseline word embedding called word2vec. new dataset was collected experiments. Two evaluation methodologies ...

2012
Kirti Bhatia Rajendar Chhillar

Summarization, an extremely important technique in Data Mining is an automatic learning technique aimed to extract the most valuable information from a large size document or the articles. The goal is to create the summary of the document, but substantially different from each other. Text Document summarization refers to the summarization of text documents based upon their content. The proposed...

2008
Josef Steinberger Karel Jezek

This paper deals with our past and recent research in text summarization. We went from single-document summarization through multidocument summarization to update summarization. We describe the development of our summarizer which is based on latent semantic analysis (LSA). The classical LSA-based summarization model was improved by Iterative Residual Rescaling. We propose the update summarizati...

2012
Kirti Bhatia Rajendar Chhillar

Summarization, an extremely important technique in Data Mining is an automatic learning technique aimed to extract the most valuable information from a large size document or the articles. The goal is to create the summary of the document, but substantially different from each other. Text Document summarization refers to the summarization of text documents based upon their content. The proposed...

2007
Marie-Josée Goulet

The goals of my dissertation are: 1) to propose a French terminology for the presentation of evaluation results of automatic summaries, 2) to identify and describe experimental variables in evaluations of automatic summaries, 3) to highlight the most common tendencies, inconsistencies and methodological problems in summarization evaluation experiments, and 4) to make recommendations for the pre...

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