Query-dependent contextualization of streaming data
| Authors |
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|---|---|
| Publication date | 2014 |
| Host editors |
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| Book title | Advances in Information Retrieval |
| Book subtitle | 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings |
| ISBN |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | 36th European Conference on Information Retrieval (ECIR'14) |
| Pages (from-to) | 706-712 |
| Publisher | Cham: Springer |
| Organisations |
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| Abstract | We propose a method for linking entities in a stream of short textual documents that takes into account context both inside a document and inside the history of documents seen so far. Our method uses a generic optimization frame- work for combining several entity ranking functions, and we introduce a global control function to control optimization. Our results demonstrate the effective- ness of combining entity ranking functions that take into account context, which is further boosted by 6\% when we use an informed global control function. |
| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-319-06028-6_80
(Final published version)
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| Permalink to this page | |
