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Collecting representative social media samples from a search engine by adaptive query generation.

, and . ASONAM, page 204-207. ACM, (2019)

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Practical Markov Logic Containing First-Order Quantifiers with Application to Identity Uncertainty, and . Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing, page 41--48. New York City, New York, Association for Computational Linguistics, (June 2006)Detecting influenza outbreaks by analyzing Twitter messages. CoRR, (2010)Controlling for Unobserved Confounds in Classification Using Correlational Constraints., and . ICWSM, page 580-583. AAAI Press, (2017)Collecting representative social media samples from a search engine by adaptive query generation., and . ASONAM, page 204-207. ACM, (2019)Estimating tie strength in follower networks to measure brand perceptions., , and . ASONAM, page 779-786. ACM, (2019)Online Reviews Are Leading Indicators of Changes in K-12 School Attributes., , , and . WWW, page 2808-2818. ACM, (2023)Confidence Estimation for Information Extraction., and . HLT-NAACL (Short Papers), The Association for Computational Linguistics, (2004)Inferring latent attributes of Twitter users with label regularization., and . HLT-NAACL, page 185-195. The Association for Computational Linguistics, (2015)First-Order Probabilistic Models for Coreference Resolution., , and . HLT-NAACL, page 81-88. The Association for Computational Linguistics, (2007)Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation., , , , and . RecSys, page 220-228. ACM, (2022)