نتایج جستجو برای: summarization evaluation technique
تعداد نتایج: 1396390 فیلتر نتایج به سال:
The goal of automated summarization is to tackle the “information overload” problem by extracting and perhaps compressing the most important content of a document. Due to the difficulty that singledocument summarization has in beating a standard baseline, especially for news articles, most efforts are currently focused on multi-document summarization. The goal of this study is to reconsider the...
Summarization evaluation has been always a challenge to researchers in the document summarization field. Usually, human involvement is necessary to evaluate the quality of a summary. Here we present a new method for automatic evaluation of text summaries by using document graphs. Data from Document Understanding Conference 2002 (DUC-2002) has been used in the experiment. We propose measuring th...
Within this article, we sketch the set of generic tools we have devised and used within the summarization process and the domain of summary evaluation, focusing on how the tools were used within the TAC 2008 summarization update challenge. The tools have a common underlying theory and provide utility in various aspects of the Natural Language Processing domain. Within this study we elaborate on...
In this paper, a novel information retrieval and text summarization model based on deep learning (DL) is introduced. The comprises three primary stages, including retrieval, template generation, summarization. initial step involves utilizing bidirectional long short term memory (BiLSTM) technique to retrieve textual data. This approach considers each word in sentence, extracts relevant informat...
Since Thai language lacks word/phrase/sentence boundaries, document summarization in Thai needs investigations in unit segmentation, unit selection, redundancy removal and evaluation dataset construction. In this work, we have proposed Thai Elementary Discourse Unit (TEDU) and a three-stage method of Thai multidocument summarization, i.e., unit segmentation, unit-graph formulation, and unit sel...
Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction
Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based documen...
A Progressive summary helps a user to monitor changes in evolving news topics over a period of time. Detecting novel information is the essential part of progressive summarization that differentiates it from normal multi document summarization. In this work, we explore the possibility of detecting novelty at various stages of summarization. New scoring features, Re-ranking criterions and filter...
A new distributed environment at less financial expenditure on communication over the Internet is presented by cloud computing. In recent times, increased number of users has made network traffic monitoring a difficult task. Although and security problems are rising in parallel, there need to develop system for providing reducing traffic. method, iReTADS, proposed reduce using data summarizatio...
Automatic summarization has started to receive increasing attention in recent years due to the increased amount of information available in electronic form. Especially, summarization techniques can be very useful in improving the effectiveness of information retrieval on the World Wide Web. However, currently available major search engines such as Google show only a limited capability for summa...
We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods a...
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