Lecture Notes
lec18.pdf
Description:
This resource discusses about graph-based algorithms in NLP, graph-based representation, hubs and authorities algorithm, analysis of the link structure, focused subgraph, iterative algorithm, page rank algorithm, intuitive justification, extractive text summarization, centrality-based summarization(radev), min-cut, etc.
Resource Type:
Lecture Notes
pdf
419 kB
lec18.pdf
Course Info
Instructors
Departments
As Taught In
Fall
2005
Level
Topics
Learning Resource Types
notes
Lecture Notes
assignment
Problem Sets
