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Identifying Earmarks in Congressional Bills., , , , , , and . KDD, page 303-311. ACM, (2016)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)Big Scholarly Data in CiteSeerX: Information Extraction from the Web., , , , and . WWW (Companion Volume), page 597-602. ACM, (2015)Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models., , , , , and . NAACL-HLT, page 2361-2375. Association for Computational Linguistics, (2022)On Unifying Misinformation Detection., , , , , , and . NAACL-HLT, page 5479-5485. Association for Computational Linguistics, (2021)CLEAR: Contrastive Learning for Sentence Representation., , , , , and . CoRR, (2020)AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries., , and . JCDL, page 185-194. ACM, (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)Quantifying Adaptability in Pre-trained Language Models with 500 Tasks., , , , , and . NAACL-HLT, page 4696-4715. Association for Computational Linguistics, (2022)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)