Related entity finding based on co-occurrence
| Authors | |
|---|---|
| Publication date | 2010 |
| Host editors |
|
| Book title | The Eighteenth Text REtrieval Conference (TREC 2009) Proceedings |
| Series | NIST Special Publication, 500-278 |
| Event | Eighteenth Text REtrieval Conference (TREC 2009), Gaithersburg, MD |
| Publisher | Gaithersburg, MD: National Institute of Standards and Technology |
| Organisations |
|
| Abstract | We report on experiments for the Related Entity Finding task in which we focus on only using Wikipedia as a target corpus in which to identify (related) entities. Our approach is based on co-occurrences between the source entity and potential target entities. We observe improvements in performance when a context-independent co-occurrence model is combined with context-dependent co-occurrence models in which we stress the importance of the expected relation between source and target entity. Applying type filtering yields further improvements results. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://trec.nist.gov/pubs/trec18/papers/uamsterdam-derijke.ENT.pdf |
| Downloads |
332657.pdf
(Final published version)
|
| Permalink to this page | |
