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Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX.

, , , , , and . Feedback Computing, USENIX Association, (2014)

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Identifying Earmarks in Congressional Bills., , , , , , and . KDD, page 303-311. ACM, (2016)Big Scholarly Data in CiteSeerX: Information Extraction from the Web., , , , and . WWW (Companion Volume), page 597-602. ACM, (2015)Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents., , and . SBP, volume 7227 of Lecture Notes in Computer Science, page 357-364. Springer, (2012)Specialized Research Datasets in the CiteSeerx Digital Library., , , , , , , , and . D Lib Mag., (2012)SeerSuite: developing a scalable and reliable application framework for building digital libraries by crawling the web, , , , , and . Proceedings of the 2010 USENIX conference on Web application development, page 14--14. Berkeley, CA, USA, USENIX Association, (2010)AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries., , and . JCDL, page 185-194. ACM, (2012)The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective., , , and . CollaborateCom, page 171-176. ICST / IEEE, (2014)The feasibility of investing in manual correction of metadata for a large-scale digital library., , and . JCDL, page 225-228. IEEE Computer Society, (2014)To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks., , and . ACL, page 2209-2213. Association for Computational Linguistics, (2020)Learning to identify relevant studies for systematic reviews using random forest and external information., , , , and . Mach. Learn., 102 (3): 465-482 (2016)