Knowledge Based Summarization and Document Generation using Bayesian Network
نویسندگان
چکیده
منابع مشابه
Multi-document Summarization using Probabilistic Topic-based Network Models
Multi-document summarization has obtained much attention in the research domain of text summarization. In the past, probabilistic topic models and network models have been leveraged to generate summaries. However, previous studies do not investigate different combinations of various topic models and network models. This paper describes an integrated approach considering both probabilistic topic...
متن کاملExtraction Based Multi Document Summarization using Single Document Summary Cluster
Multi document summarization has very great impact among research community, ever since the growth of online information and availability. Selecting most important sentences from such huge repository of data is quiet tricky and challenging task. While multi document poses some additional overhead in sentence selection, generating summaries for each individual documents and merging the sentences...
متن کاملDocument Summarization using Wikipedia
© Document summarization using Wikipedia Krishnan Ramanathan, Yogesh Sankarasubramaniam, Nidhi Mathur, Ajay Gupta HP Laboratories HPL-2009-39 Single Document Summarization, Wikipedia, ROUGE Although most of the developing world is likely to first access the Internet through mobile phones, mobile devices are constrained by screen space, bandwidth and limited attention span. Single document summa...
متن کاملUsing Specialized Knowledge in Automated Web Document Summarization
Automated text summarization is a natural language processing task to generate short, concise, and comprehensive descriptions of essential content of documents. This paper is going to describe some new features in an online automated web document summarization system used in Seven Tones Search Engine (Zheng and Erbach 2002, Zheng 2001), a search engine specialized in linguistics and languages. ...
متن کاملCriticism-Based Knowledge Acquisition for Document Generation
This chapter describes an AI application called the TRADOC issue management expert (TIME), which was deployed in 1990 for the U.S. Army Training and Doctrine Command (TRADOC). TIME helps generate a document that is part of the system acquisition milestone or decision process. The goal of TIME is to bridge the gap between the headquarters decision makers who know how to write the desired documen...
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: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.06.080