LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
نویسندگان
چکیده
منابع مشابه
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
We introduce a stochastic graph-based method for computing relative importance of textual units for Natural Language Processing. We test the technique on the problem of Text Summarization (TS). Extractive TS relies on the concept of sentence salience to identify the most important sentences in a document or set of documents. Salience is typically defined in terms of the presence of particular i...
متن کاملLexRank: Graph-based Centrality as Salience in Text Summarization
We introduce a stochastic graph-based method for computing relative importance of textual units for Natural Language Processing. We test the technique on the problem of Text Summarization (TS). Extractive TS relies on the concept of sentence salience to identify the most important sentences in a document or set of documents. Salience is typically defined in terms of the presence of particular i...
متن کاملAutomatic Text Summarization Based on Lexical Chains
The method of lexical chains is the first time introduced to generate summaries from Chinese texts. The algorithm which computes lexical chains based on the HowNet knowledge database is modified to improve the performance and suit Chinese summarization. Moreover, the construction rules of lexical chains are extended, and relationship among more lexical items is used. The algorithm constructs le...
متن کاملEXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...
متن کاملText Summarization Using Lexical Chains
Text summarization addresses both the problem of selecting the most important portions of text and the problem of generating coherent summaries. We present in this paper the summarizer of the University of Lethbridge at DUC 2001, which is based on an efficient use of lexical chains.
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: Journal of Artificial Intelligence Research
سال: 2004
ISSN: 1076-9757
DOI: 10.1613/jair.1523