Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

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W
A. Ramesh, Kumar, S., Foulds, J., and Getoor, L., “Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums”, in 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015.PDF icon ramesh-acl15.pdf (168.7 KB)
R
A. Grycner, Weikum, G., Pujara, J., Foulds, J., and Getoor, L., “RELLY: Inferring Hypernym Relationships Between Relational Phrases”, in Conference on Empirical Methods in Natural Language Processing, 2015.PDF icon agrycner-emnlp15.pdf (234.86 KB)
L
J. Foulds, Kumar, S., and Getoor, L., “Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models”, in International Conference on Machine Learning (ICML), 2015.PDF icon Foulds2015LatentTopicNetworks.pdf (382.53 KB)
J
D. Sridhar, Foulds, J., Walker, M., Huang, B., and Getoor, L., “Joint Models of Disagreement and Stance in Online Debate”, in Annual Meeting of the Association for Computational Linguistics (ACL), 2015.PDF icon sridhar-acl15.pdf (227.14 KB)
H
P. Kouki, Fakhraei, S., Foulds, J., Eirinaki, M., and Getoor, L., “HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems”, in 9th ACM Conference on Recommender Systems (RecSys), 2015.PDF icon kouki-recsys15.pdf (1.03 MB)
X. He, Rekatsinas, T., Foulds, J., Getoor, L., and Liu, Y., “HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades”, in International Conference on Machine Learning, 2015.PDF icon He2015HawkesTopic.pdf (819.91 KB)
C
D. Sridhar, Foulds, J., Huang, B., Walker, M., and Getoor, L., “Collective classification of stance and disagreement in online debate forums”, in Bay Area Machine Learning Symposium (BayLearn), 2014.