A summarization Journey . Search and Information Extraction Lab IIIT Hyderabad. Information Overload. Explosive growth of information on web Failure of information retrieval systems to satisfy user’s information need. Need for sophisticated information access solutions.
Search and Information Extraction Lab
Explosive growth of information on web
Failure of information retrieval systems to
satisfy user’s information need
Need for sophisticated information access
Summary is a condensed version of source document(s) having a recognizable genre : to give the reader an exact and concise idea of the contents of the source.
An extract is a summary consisting of entirely of material from the input text
An abstract is a summary at least some of whose material is not present in the input.
eg. paraphrases of content, subject of categories
Query Focused Multi Document
RBLM is an IR approach that computes the conditional probabilities of relevance from document and query
38 systems participated in 2006
Significant difference between first two systems
Web-based profile creation: Personal information available on web- a conference page, a project page, an online paper, or even in a Weblog.
Estimate Model P(w/Mu) to incorporate user in sentence extraction process
Sentiment summarization as a two stage classification problem at sentence level