Evaluation of Multi Document Summarization Techniques
نویسندگان
چکیده
منابع مشابه
Semantic Multi-Document Update Summarization Techniques
As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose two new multi-document summarization techniques that make use of WordNet, a general knowledge source from Princeton Univ...
متن کاملMulti-Topic Multi-Document Summarization
Summarization of multiple documents featuring multiple topics is discussed. The example trea.ted here consists of fifty articles about the Peru hostage incident tbr ])ecember 1996 through April 1997. They include a. lot of topics such as opening, negotiation, ending, and so on. The method proposed in this paper is based on spreading activation over documents syntactically and semantically annot...
متن کاملMulti-Document Biography Summarization
In this paper we describe a biography summarization system using sentence classification and ideas from information retrieval. Although the individual techniques are not new, assembling and applying them to generate multi-document biographies is new. Our system was evaluated in DUC2004. It is among the top performers in task 5–short summaries focused by person questions.
متن کاملHierarchical Summarization: Scaling Up Multi-Document Summarization
Multi-document summarization (MDS) systems have been designed for short, unstructured summaries of 10-15 documents, and are inadequate for larger document collections. We propose a new approach to scaling up summarization called hierarchical summarization, and present the first implemented system, SUMMA. SUMMA produces a hierarchy of relatively short summaries, in which the top level provides a...
متن کاملAutomatic Evaluation of Linguistic Quality in Multi-Document Summarization
To date, few attempts have been made to develop and validate methods for automatic evaluation of linguistic quality in text summarization. We present the first systematic assessment of several diverse classes of metrics designed to capture various aspects of well-written text. We train and test linguistic quality models on consecutive years of NIST evaluation data in order to show the generalit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Research Journal of Applied Sciences
سال: 2012
ISSN: 1815-932X
DOI: 10.3923/rjasci.2012.229.233