#GENERAL

#ABSTRACT & CONCLUSION

compare two approaches of summarization
- sentence extraction based approach MEAD (an open source package)
- language generation based approach SEA
conclusion
- both perform equally well quantitatively
  - MEAD: varied language and details but lack in accuracy, fail to give an overview
  - SEA: provide general overview but sounding 'robotic', repetitive and incoherent (rời rạc, ko mạch lạc)
- both perform different but for complementary reasons
- should synthesize two approaches

#INTRODUCTION

INDUSTRIAL NEEDS
- Online customer reviews, summaries of this literature could be of great strategic value to product designers, planners and manufactures
- Other important commercial applications such as summarization of travel logs
- non-commercial applications such as the summarization of candidate reviews
PROBLEM
- how to effectively summarize a large corpora of evaluative text about a single entity e.g. a product
- for factual documents, the goal is to extract important facts and present them in a sensible ordering while avoiding repetition
- when documents contain inconsistent info e.g. conflicting report, the goal is to identify overlaps and inconsistencies and produce a summary that points out and explain those inconsistencies.