Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Pablo Barrio
    Last name: 0002
    DBLP: 15/11199-2
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 6 of 6  
    Select a publication
    Show Title Venue Rating Date
    Conference paper
    Pablo Barrio 0002, Luis Gravano.
    Sampling strategies for information extraction over the deep web.
    Inf. Process. Manage. 2017, Volume 53 (0) 2017
    Conference paper
    Pablo Barrio 0002, Daniel G. Goldstein, Jake M. Hofman.
    Improving Comprehension of Numbers in the News.
    Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA, May 7-12, 2016 2016 (0) 2016
    Conference paper
    Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio 0002, Or Biran, Suvarna Bothe, Michael Collins 0001, 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.
    JASIST 2016, Volume 67 (0) 2016
    Conference paper
    Pablo Barrio 0002, Gonçalo Simões, Helena Galhardas, Luis Gravano.
    Learning to Rank Adaptively for Scalable Information Extraction.
    Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015. 2015 (0) 2015
    Conference paper
    Pablo Barrio 0002, Luis Gravano, Chris Develder.
    Ranking Deep Web Text Collections for Scalable Information Extraction.
    Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 2015 (0) 2015
    Conference paper
    Pablo Barrio 0002, Gonçalo Simões, Helena Galhardas, Luis Gravano.
    REEL: A Relation Extraction Learning framework.
    IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014, London, United Kingdom, September 8-12, 2014 2014 (0) 2014
    Show item 1 to 6 of 6  

    Your query returned 6 matches in the database.