%0 Conference Paper %1 shen2013:linking %A Shen, Wei %A Wang, Jianyong %A Luo, Ping %A Wang, Min %B Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining %C New York, NY, USA %D 2013 %I ACM %K microlink@l3s %P 68--76 %R 10.1145/2487575.2487686 %T Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling %U http://doi.acm.org/10.1145/2487575.2487686 %@ 978-1-4503-2174-7

@inproceedings{shen2013:linking, acmid = {2487686}, added-at = {2015-01-26T18:17:44.000+0100}, address = {New York, NY, USA}, author = {Shen, Wei and Wang, Jianyong and Luo, Ping and Wang, Min}, biburl = {https://www.bibsonomy.org/bibtex/2c0fc13cbd222bec66931a49b43665144/zhu}, booktitle = {Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, doi = {10.1145/2487575.2487686}, interhash = {b9de132612aa1b58d1e5cebe03b19d51}, intrahash = {c0fc13cbd222bec66931a49b43665144}, isbn = {978-1-4503-2174-7}, keywords = {microlink@l3s}, location = {Chicago, Illinois, USA}, numpages = {9}, pages = {68--76}, publisher = {ACM}, series = {KDD '13}, timestamp = {2015-01-26T18:17:44.000+0100}, title = {Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling}, url = {http://doi.acm.org/10.1145/2487575.2487686}, year = 2013 }