Paper: A New Probabilistic Model For Title Generation

ACL ID C02-1137
Title A New Probabilistic Model For Title Generation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title generation. Different from the previous statistical models for title generation, which treat title generation as a generation process that converts the ‘document representation’ of information directly into a ‘title representation’ of the same information, this model introduces a hidden state called ‘information source’ and divides title generation into two steps, namely the step of distilling the ‘information source’ from the observation of a document and the step of generating a title from the estimated ‘information source’. In our experiment, the new probabilistic model outperforms the previous ...