Pablo Barrio

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Luis GravanoProfessor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Or BiranVerified email at cs.columbia.edu
Simone TeufelProfessor of Computer Science, Cambridge UniversityVerified email at cl.cam.ac.uk
Ben KingUniversity of MichiganVerified email at umich.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityVerified email at cs.columbia.edu
Taesun MoonResearcher, IBM Research, Yorktown Heights, NYVerified email at umiacs.umd.edu
Kapil ThadaniColumbia UniversityVerified email at cs.columbia.edu
Kenneth R. FleischmannProfessor, School of Information, The University of Texas at AustinVerified email at ischool.utexas.edu
Arvind NeelakantanMetaVerified email at meta.com
John Paparrizos🔬 The DATUM Lab 🎓 The Ohio State UniversityVerified email at paparrizos.org
Diarmuid Ó SéaghdhaAppleVerified email at cam.ac.uk
Snigdha ChaturvediAssociate Professor, University of North Carolina, Chapel HillVerified email at cs.unc.edu
Rahul JhaResearch Scientist, NetflixVerified email at umich.edu
Daniel G GoldsteinSenior Principal Research Manager, Microsoft ResearchVerified email at dangoldstein.com
Jake HofmanSenior Principal Researcher, Microsoft ResearchVerified email at microsoft.com
Goncalo SimoesSoftware Engineer, GoogleVerified email at google.com
Helena GalhardasINESC-ID and Instituto Superior Técnico, University of LisbonVerified email at ist.utl.pt
Chris DevelderGhent University - imecVerified email at ugent.be

Pablo Barrio

Ph.D. Student, Columbia University

Verified email at cs.columbia.edu - Homepage

Information Extraction Information Retrieval Natural Language Processing Machine Learning


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Predicting the impact of scientific concepts using full‐text features K McKeown, H Daume III, S Chaturvedi, J Paparrizos, K Thadani, P Barrio, ... Journal of the Association for Information Science and Technology 67 (11 …, 2016	82	2016
Improving comprehension of numbers in the news PJ Barrio, DG Goldstein, JM Hofman Proceedings of the 2016 chi conference on human factors in computing systems …, 2016	45	2016
Sampling strategies for information extraction over the deep web P Barrio, L Gravano Information Processing & Management 53 (2), 309-331, 2017	18	2017
REEL: A relation extraction learning framework P Barrio, G Simões, H Galhardas, L Gravano IEEE/ACM Joint Conference on Digital Libraries, 455-456, 2014	11	2014
Constructing high precision knowledge bases with subjective and factual attributes A Kobren, P Barrio, O Yakhnenko, J Hibschman, I Langmore Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	8	2019
Ranking deep web text collections for scalable information extraction P Barrio, L Gravano, C Develder Proceedings of the 24th ACM International on Conference on Information and …, 2015	4	2015
Learning to Rank Adaptively for Scalable Information Extraction. P Barrio, G Simões, H Galhardas, L Gravano EDBT, 241-252, 2015	4	2015
Distantly Supervised Attribute Detection from Reviews L Fu, P Barrio Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018		2018
4TH WORKSHOP ON NOISY USER-GENERATED TEXT, W-NUT 2018-PROCEEDINGS OF THE WORKSHOP V Malykh, V Logacheva, T Khakhulin, L Fu, P Barrio, R Grishman, B Min, ...		2018

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