Name
Abstract | ||
|---|---|---|
We demonstrate the YaLi browser plug-in which discovers named entities in Web pages and provides background knowledge about them. The plug-in is implemented with two purposes. From a user perspective, it enriches the browsing experience with entities, helping users with their information needs. From the research perspective, we aim to improve the methods that are used for named entity recognition and disambiguation (NERD) by leveraging the plug-in as an implicit crowdsourcing platform. YaLi tracks the system's errors and the users' corrections, and also gathers implicit training data for improving NERD accuracy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2484028.2484206 | SIGIR |
Keywords | Field | DocType |
browsing experience,implicit crowdsourcing platform,nerd accuracy,information need,user perspective,entity recognition,research perspective,web page,implicit training data,named entity disambiguation,crowdsourcing | Entity linking,Training set,World Wide Web,Information needs,Information retrieval,Web page,Computer science,Crowdsourcing,Nerd,Plug-in,Named-entity recognition | Conference |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yafang Wang | 1 | 12 | 1.78 |
| Lili Jiang | 2 | 1 | 0.38 |
| Johannes Hoffart | 3 | 1362 | 52.62 |
| Gerhard Weikum | 4 | 12710 | 2146.01 |