English

Conciseness through Aggregation in Text Generation

cmp-lg 2008-02-03 v1 Computation and Language
Authors: James Shaw
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Abstract

Aggregating different pieces of similar information is necessary to generate concise and easy to understand reports in technical domains. This paper presents a general algorithm that combines similar messages in order to generate one or more coherent sentences for them. The process is not as trivial as might be expected. Problems encountered are briefly described.

Keywords

text generation text summarization text classification

Cite

@article{arxiv.cmp-lg/9505008,
  title  = {Conciseness through Aggregation in Text Generation},
  author = {James Shaw},
  journal= {arXiv preprint arXiv:cmp-lg/9505008},
  year   = {2008}
}

Comments

3 pages, LaTex, uses aclap.sty, student sessions of ACL95

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