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We present a data-driven approach to generating responses to Twitter status posts, based on phrase-based Statistical Machine Translation. We find that mapping conversational stim...
Abstract—Automatic summarization evaluation is very important to the development of summarization systems. In text summarization, ROUGE has been shown to correlate well with huma...
In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific informat...
Lucy Vanderwende, Hisami Suzuki, Chris Brockett, A...
We describe a focused effort to investigate the performance of phrase-based, human evaluation of machine translation output achieving a high annotator agreement. We define phrase-...
Automatic summarization evaluation is critical to the development of summarization systems. While ROUGE has been shown to correlate well with human evaluation for content match in...
Abstract. In spite of the wide use of the Internet, it is difficult to develop desirable web documents evaluation that reflects users’ needs. Many automatic ranking systems have ...