Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation

@inproceedings{Dias2007TopicSA,
  title={Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation},
  author={Ga{\"e}l Dias and Elsa Alves and Jos{\'e} Gabriel Pereira Lopes},
  booktitle={AAAI},
  year={2007}
}
In order to solve problems of reliability of systems based on lexical repetition and problems of adaptability of languagedependent 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. 

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