ABSTRACT
This tutorial introduces the audience to the latest breakthroughs in the area of interpreting unstructured content through an analysis of the key enabling scientific results along with their real-world applications. With technical presentations of problems like named-entity disambiguation and dynamically updating the knowledge hierarchy with domain-specific vocabulary, it would provide the fundamentals to the building-blocks of various applications in Artificial Intelligence, Natural Language Processing, Machine Learning, and Data Mining.
- Luca Maria Aiello, Rossano Schifanella, Daniele Quercia, and Francesco Aletta. 2016. Chatty maps: constructing sound maps of urban areas from social media data. Royal Society open science Vol. 3, 3 (2016), 150690.Google Scholar
- P. Bille. 2005. A survey on tree edit distance and related problems. Theoretical Computer Science Vol. 337, 1 (2005), 217--239. Google ScholarDigital Library
- David M. Blei. 2012. Probabilistic Topic Models. Commun. ACM Vol. 55, 4 (April. 2012), 77--84. Google ScholarDigital Library
- Paolo Ferragina and Ugo Scaiella. 2010. TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26--30, 2010. ACM, 1625--1628. Google ScholarDigital Library
- E. B. Fowlkes and C. L. Mallows. 1983. A Method for Comparing Two Hierarchical Clusterings. J. Amer. Statist. Assoc. Vol. 78, 383 (1983), 553--569.Google ScholarCross Ref
- S. R. Gunn. 1998. Support Vector Machines for Classification and Regression. Technical Report. Univ. of Southampton, USA.Google Scholar
- Victoria Henshaw. 2013. Urban smellscapes: Understanding and designing city smell environments. Routledge.Google Scholar
- Ioana Hulpus, Conor Hayes, Marcel Karnstedt, and Derek Greene. 2013. Unsupervised Graph-based Topic Labelling Using Dbpedia WSDM. Google ScholarDigital Library
- Leo Katz. 1953. A new status index derived from sociometric analysis. Psychometrika Vol. 18, 1 (1953), 39--43.Google ScholarCross Ref
- Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher, and Christos Faloutsos. 2016. DeltaCon: A principled massive-graph similarity function with attribution. ACM Transactions on Knowledge Discovery from Data (TKDD) Vol. 10, 3 (2016). Google ScholarDigital Library
- Tiep Mai, Bichen Shi, Patrick K. Nicholson, Deepak Ajwani, and Alessandra Sala. 2017. Scalable Disambiguation System Capturing Individualities of Mentions Language, Data, and Knowledge - First International Conference, LDK 2017, Galway, Ireland, June 19--20, 2017, Proceedings (Lecture Notes in Computer Science), Vol. Vol. 10318. Springer, 365--379.Google Scholar
- Brian McFee and Gert Lanckriet. 2010. Metric Learning to Rank. In Proceedings of the 27th International Conference on International Conference on Machine Learning. 775--782. Google ScholarDigital Library
- Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2. 3111--3119. Google ScholarDigital Library
- Daniele Quercia, Rossano Schifanella, Luca Maria Aiello, and Kate McLean. 2015. Smelly maps: the digital life of urban smellscapes. arXiv preprint arXiv:1505.06851 (2015).Google Scholar
- Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, and Srinivasan Parthasarathy. 2017. Breaking cycles in noisy hierarchies. In ACM Conference on Web Science. 151--160. Google ScholarDigital Library
Index Terms
- Efficient Auto-Generation of Taxonomies for Structured Knowledge Discovery and Organization
Comments