Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/127> ?p ?o. }
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- 127 creator chengxiang-zhai.
- 127 creator evelyne-viegas.
- 127 creator kavita-ganesan.
- 127 type InProceedings.
- 127 label "Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions".
- 127 sameAs 127.
- 127 abstract "This paper presents a new unsupervised approach to generating 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 modified mutual information function and model readability with an n-gram language model. We propose some heuristic algorithms to efficiently solve this optimization problem. Evaluation results show that our unsupervised approach outperforms other state of the art summarization methods and the generated summaries are informative and readable.".
- 127 hasAuthorList authorList.
- 127 isPartOf proceedings.
- 127 keyword "opinion summarization".
- 127 keyword "text mining".
- 127 keyword "text summarization".
- 127 keyword "ultra summarization".
- 127 title "Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions".