This paper presents a novel answer summarization approach for community Question Answering services (cQAs) to address the problem of "incomplete answer", i.e., missing valuable information from the "best answer" of a complex multi-sentence question, which can be obtained from other answers to the same question. Our method automatically generate a novel and non-redundant summary from cQA answers using structured determinantal point processes (SDPP). Experimental evaluation on sample dataset from Yahoo Answers shows significant improvement over baseline approaches. © 2013 Springer-Verlag.
CITATION STYLE
Pande, V., Mukherjee, T., & Varma, V. (2013). Summarizing answers for community question answer services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8105 LNAI, pp. 151–161). https://doi.org/10.1007/978-3-642-40722-2_16
Mendeley helps you to discover research relevant for your work.