6.864 | Fall 2005 | Graduate

Advanced Natural Language Processing

Lecture Notes

lec25.pdf

Description:

This resource discusses about summarization, types of summaries, extracts vs. abstracts, condensation genre, centrality-based summarization(radev), combination of sentential features, learning content structure, computing content model, Viterbi re-estimation, applications of content models, etc.

Resource Type:
Lecture Notes

Course Info