Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation
Gaël Dias, Elsa Alves, Gabriel Pereira Lopes · 2007
In order to solve problems of reliability of systems based on lexical repetition and problems of adaptability of language-dependent systems, we present a context-based topic segmentation system based on a new informative similarity measure based on word co-occurrence. In particular, our evaluation with the state-of-the-art in the domain i.e. the c99 and the TextTiling algorithms shows improved results both with and without the identification of multiword units.