The mission of the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down.
I'm interested in machine learning techniques (graphical models, kernel methods) applied to text understanding (entity and relation extraction, coreference resolution, document classification and clustering, confidence prediction, social network analysis, data mining).
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
Y. Song, L. Zhang, and C. Giles. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, page 93--102. New York, NY, USA, ACM, (2008)
R. Agrawal, T. Imielinski, and A. Swami. SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, page 207--216. New York, NY, USA, ACM Press, (1993)
B. Krause, C. Schmitz, A. Hotho, and G. Stumme. AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web, page 61--68. New York, NY, USA, ACM, (2008)
J. Tang, M. Hong, J. Li, and B. Liang. International Semantic Web Conference, volume 4273 of Lecture Notes in Computer Science, page 640-653. Springer, (2006)
S. Wunderlich, M. Ring, D. Landes, and A. Hotho. CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 14-24. Springer, (2019)