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ORCIDPablo Barrio 0002
Person information
- affiliation: Google, New York, NY, USA
- affiliation (PhD 2015): Columbia University, New York, NY, USA
Other persons with the same name
- Pablo Barrio 0001 — Politec. de Madrid, Spain
- Pablo Barrio 0003 — University of Barcelona, Clinical Institute of Neuroscience, Spain
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2010 – 2019
- 2019
[c6]Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore:
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. KDD 2019: 2050-2058- [i1]Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore:
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. CoRR abs/1905.12807 (2019) - 2018
- [c5]Lisheng Fu, Pablo Barrio:
Distantly Supervised Attribute Detection from Reviews. NUT@EMNLP 2018: 74-78 - 2017
- [j2]Pablo Barrio
, Luis Gravano:
Sampling strategies for information extraction over the deep web. Inf. Process. Manag. 53(2): 309-331 (2017) - 2016
- [j1]Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel:
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [c4]Pablo Javier Barrio, Daniel G. Goldstein, Jake M. Hofman:
Improving Comprehension of Numbers in the News. CHI 2016: 2729-2739 - 2015
- [b1]Pablo Barrio:
Ranking for Scalable Information Extraction. Columbia University, USA, 2015 - [c3]Pablo Barrio, Luis Gravano, Chris Develder:
Ranking Deep Web Text Collections for Scalable Information Extraction. CIKM 2015: 153-162 - [c2]Pablo Barrio, Gonçalo Simões, Helena Galhardas, Luis Gravano:
Learning to Rank Adaptively for Scalable Information Extraction. EDBT 2015: 241-252 - 2014
- [c1]Pablo Barrio, Gonçalo Simões, Helena Galhardas, Luis Gravano:
REEL: A Relation Extraction Learning framework. JCDL 2014: 455-456
Coauthor Index
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