The impact of named entity normalization on information retrieval for question answering
| Authors | |
|---|---|
| Publication date | 2008 |
| Host editors |
|
| Book title | Advances in Information Retrieval |
| Book subtitle | 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008 : proceedings |
| ISBN |
|
| ISBN (electronic) |
|
| Series | Lecture Notes in Computer Science |
| Event | 30th European Conference on Information Retrieval (ECIR 2008), Glasgow, UK |
| Pages (from-to) | 705-710 |
| Publisher | Berlin: Springer |
| Organisations |
|
| Abstract | In the named entity normalization task, a system identifies a canonical unambiguous referent for names like Bush or Alabama. Resolving synonymy and ambiguity of such names can benefit end-to-end information access tasks. We evaluate two entity normalization methods based on Wikipedia in the context of both passage and document retrieval for question anwering. We find that even a simple normalization method leads to improvements of early precision, both for document and passage retrieval. Moreover, better normalization results in better retrieval performance. |
| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-540-78646-7_83
(Final published version)
|
| Permalink to this page | |
