观点摘要的www会议论文，摘要如下：
This paper presents a new unsupervised approach to gen-
erating ultra-concise summaries of opinions. We formulate
the problem of generating such a micropinion summary as
an optimization problem, where we seek a set of concise and
non-redundant phrases that are readable and represent key
opinions in text. We measure representativeness based on a
modied mutual information function and model readability
with an n-gram language model. We propose some heuris-
tic algorithms to eciently solve this optimization problem.
Evaluation results show that our unsupervised approach out-
performs other state of the art summarization methods and
the generated summaries are informative and readable.
