Topic Boundary Detection Task

From GM-RKB
Jump to navigation Jump to search

A Topic Boundary Detection Task is a Text Segmentation Task that requires the Detection of the start/end of a Passage that covers some distinct Topic.



References

  • (Choi, 2000) ⇒ Freddy Y. Y. Choi. (2000). “Advances in Domain Independent Linear Text Segmentation.” In: Proceedings of the 1st North American chapter of the Association for Computational Linguistics Conference.
    • Even moderately long documents typically address several topics or different aspects of the same topic. The aim of linear text segmentation is to discover the topic boundaries. The uses of this procedure include information retrieval (Hearst and Plaunt, 1993; Hearst, 1994; Yaari, 1997; Reynar, 1999), summarization (Reynar, 1998), text understanding, anaphora resolution (Kozima, 1993), language modelling (Morris and Hirst, 1991; Beeferman et al., 199717) and improving document navigation for the visually disabled (Choi, 2000).