Short Message Contextualization

The paper presents a novel approach to automatic multidocument summarization applied for short message contextualization. The proposed method is based on named entity recognition, part-ofspeech weighting and sentence quality measuring. In contrast to previous research, we introduced an algorithm of smoothing from the local context. Our approach exploits topic-comment structure of a text. Moreover, we developed a graph-based algorithm for sentence reordering. The method was adapted to snippet retrieval and query expansion. The evaluation results on INEX and TREC data sets indicate good performance of the approach.