A generative language modeling approach for ranking entities
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| Publication date | 2009 |
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| Book title | Advances in Focused Retrieval |
| Book subtitle | 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008 : revised and selected papers |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | 7th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2008), Dagstuhl Castle, Germany |
| Pages (from-to) | 292-299 |
| Publisher | Berlin: Springer |
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| Abstract |
We describe our participation in the INEX 2008 Entity Ranking track. We develop a generative language modeling approach for the entity ranking and list completion tasks. Our framework comprises the following components: (i) entity and (ii) query language models, (iii) entity prior, (iv) the probability of an entity for a given category, and (v) the probability of an entity given another entity. We explore various ways of estimating these components, and report on our results. We find that improving the estimation of these components has very positive effects on performance, yet, there is room for further improvements.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-642-03761-0_30 |
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