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

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.

• Type: Conference
• Year: 2007
• Where: AAAI
• Authors: Gaël Dias, Elsa Alves, José Gabriel Pereira Lopes
• Keywords: AAAI 2007, Context-based Topic Segmentation, Informative Similarity Measure, Intelligent Agents, Lexical Repetition