Abstract
This PhD proposal is about the development of new methods for information access. Two new approaches are proposed: Multi-Grained Query Answering that bridges the gap between Information Retrieval and Question Answering and Learning-Enhanced Query Answering that enables the improvement of retrieval performance based on the experience of previous queries and answers. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Sorg, P. (2008). Learning methods in multi-grained query answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5318 LNCS, pp. 926–931). Springer Verlag. https://doi.org/10.1007/978-3-540-88564-1_64
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