Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

11

CICLING
2005
Springer

favoriteEmaildiscussreport

123views Natural Language Processing» more CICLING 2005»

Experiment on Combining Sources of Evidence for Passage Retrieval

13 years 10 months ago

Experiment on Combining Sources of Evidence for Passage Retrieval

Download www.gelbukh.com

Passage retrieval consists in identifying short but informative runs of a long text, given a specific user query. We discuss the sources of evidence that help choosing likely high-quality passages, such as relevance to the user query and self-containedness. These measures are different from the traditional information retrieval procedure due to the use of the context of the passage.

Alexander F. Gelbukh, Namo Kang, Sang-Yong Han

Real-time Traffic

CICLING 2005 | Natural Language Processing | Passage Retrieval | Specific User Query | User Query |

claim paper

Related Content

» Enhancing Relevance Models with Adaptive Passage Retrieval

» Combining Evidence for Relevance Criteria A Framework and Experiments in Web Retrieval

» Discriminative probabilistic models for passage based retrieval

» Combining Semantics Context and Statistical Evidence in Genomics Literature Search

» Combining Resources to Find Answers to Biomedical Questions

» Combining Positive and Negative Query Feedback in Passage Retrieval

» Using DempsterShafers Theory of Evidence to Combine Aspects of Information Use

» Combining Evidence for Improved Speech Retrieval

» Semantic passage segmentation based on sentence topics for question answering

Post Info
More Details (n/a)

Added	26 Jun 2010
Updated	26 Jun 2010
Type	Conference
Year	2005
Where	CICLING
Authors	Alexander F. Gelbukh, Namo Kang, Sang-Yong Han

Comments (0)