dc.contributor.author |
Das, Pabani |
|
dc.date.accessioned |
2022-02-08T05:26:38Z |
|
dc.date.available |
2022-02-08T05:26:38Z |
|
dc.date.issued |
2019-07 |
|
dc.identifier.citation |
37p. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10263/7270 |
|
dc.description |
Dissertation under the supervision of Dr. Debapriyo Majumdar |
en_US |
dc.description.abstract |
Given a search query our system retrieves most significant events related
to the query and display them in user friendly timeline. We are
using graph structure to compute relative importance of events. We
are representing event and its elements as complete graph. To rank
events we are linearly combining basic IR ranking and ranking of
event elements. evaluation on DUC Data experimental results shows
that our system performs at par with the NLP based summarization
techniques and yet works as fast as a search engine |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Indian Statistical Institute,Kolkata |
en_US |
dc.relation.ispartofseries |
Dissertation;;2019-21 |
|
dc.subject |
Annotate Sentence |
en_US |
dc.subject |
Nodes |
en_US |
dc.title |
Event Timeline Generation and Summarization using PageRank |
en_US |
dc.type |
Other |
en_US |