An algorithmic approach to rank the disambiguous entities in Twitter streams for effective semantic search operations

Author:

Senthil Kumar NORCID,Dinakaran M

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference37 articles.

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2. Han J, Wang C and El-Kishky A 2014 Bringing Structure to Text: Mining Phrases, Entity Concepts, Topics, and Hierarchies. In KDD 2014 conference tutorial. pp. 1968–1968

3. Ritter A, Clark S and Etzioni O 2011 Named entity recognition in tweets: an experimental study. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 1524–1534). Association for Computational Linguistics

4. Ganea O E, Ganea M, Lucchi A, Eickhoff C and Hofmann T 2016 Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. In: Proceedings of the 25th International Conference on World Wide Web (pp. 927–938). International World Wide Web Conferences Steering Committee

5. Wang C, Chakrabarti K, Cheng T and Chaudhuri S 2012 Targeted disambiguation of ad-hoc, homogeneous sets of named entities. In: Proceedings of the 21st international conference on World Wide Web (pp. 719–728). ACM

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