Lyle H. Ungar

Lyle H. Ungar is a person.

• See: Text Mining, Spectral Learning Algorithm.

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References

• Personal Homepage: http://www.cis.upenn.edu/~ungar/
• DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/u/Ungar:Lyle_H=.html
• Google Scholar Page: http://scholar.google.com/citations?user=KCiDjbkAAAAJ

2015

• (Dhillon et al., 2015) ⇒ Paramveer S. Dhillon, Dean P. Foster, and Lyle H. Ungar. (2015). “Eigenwords: Spectral Word Embeddings.” In: Journal of Machine Learning Research.

2013

• (Cohen, Collins et al., 2013) ⇒ Shay Cohen, Michael Collins, Dean Foster, Karl Stratos and Lyle Ungar. (2013). Spectral Learning Algorithms for Natural Language Processing." Tutorial at NAACL 2013

2010

• (Goorha et al., 2010) ⇒ Saurabh Goorha, and Lyle Ungar. (2010). “Discovery of Significant Emerging Trends.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835815

2009

• (Sandler et al., 2009) ⇒ Ted Sandler, Lyle H. Ungar, Koby Crammer. (2009). “Resolving Identity Uncertainty with Learned Random Walks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.69

2008

• (Whitelaw et al., 2008) ⇒ Casey Whitelaw, Alex Kehlenbeck, Nemanja Petrovic, Lyle Ungar. (2008). “Web-scale named entity recognition.” In: Proceeding of the 17th ACM conference on Information and knowledge management (CIKM 2008). doi:10.1145/1458082.1458102

2007

• (Feldman et al., 2007) ⇒ Ronen Feldman, M. Fresko, J. Goldenberg, O. Netzer, and Lyle Ungar. (2007). “Extracting Product Comparisons from Discussion Boards.” In: Proceedings of ICDM 2007 (ICDM 2007).

2003

• (Popescul et al., 2003) ⇒ Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock. (2003). “Statistical Relational Learning for Document Mining.” In: Proceedings of ICDM Conference (ICDM 2003).
• (Popescul & Ungar, 2003) ⇒ Alexandrin Popescul, and Lyle H. Ungar. (2003). “Statistical Relational Learning for Link Rrediction.” In: Proceedings of IJCAI Workshop on Learning Statistical Models from Relational Data.

2002

• (Schein et al., 2002) ⇒ Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock. (2002). “Methods and Metrics for Cold-Start Recommendations.” In: Proceedings of the 25th ACM SIGIR Conference (SIGIR 2002) doi:10.1145/564376.564421.

2000

• (McCallum et al., 2000b) ⇒ Andrew McCallum, Kamal Nigam, and Lyle H. Ungar. (2000). “Efficient Clustering of High-dimensional Data Sets with Application to Reference Matching.” In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2000). (doi:10.1145/347090.347123).
• (Zhu & Ungar, 2000) ⇒ J. J. Zhu, and Lyle H. Ungar. (2000). “String Edit Analysis for Merging Databases.” In: KDD 2000 Workshop on Text Mining.
• (Popescul et al., 2000) ⇒ Alexandrin Popescul, Lyle H. Ungar, Gary William Flake, Steve Lawrence, and C. Lee Giles. (2000). “Clustering and Identifying Temporal Trends in Document Databases.” In: Proceedings of the IEEE Advances in Digital Libraries 2000.

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