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Miles Osborne

Miles Osborne

D-Index & Metrics

Computer Science

D-Index
52
Citations
10606
World Ranking
5094
National Ranking
2357

Overview

Miles Osborne is affiliated with Bloomberg LP in the United States and has contributed extensively to research in computer science and social sciences. Their work spans various subfields, including artificial intelligence, statistical and nonlinear physics, communication, sociology and political science, and information systems.

The main topics explored in their research encompass complex network analysis techniques, topic modeling, misinformation and its impacts, opinion dynamics and social influence, public relations and crisis communication, social media and politics, and sentiment analysis and opinion mining.

Among the recent papers authored by or involving Miles Osborne are:

  • RT to Win! Predicting Message Propagation in Twitter, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Can Twitter Replace Newswire for Breaking News?, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Opinion Retrieval in Twitter, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Improving Twitter Retrieval by Exploiting Structural Information, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent coauthors collaborating with Miles Osborne include:

  • Saša Petrović
  • Zhunchen Luo
  • Victor Lavrenko
  • Richard McCreadie
  • Craig Macdonald

In terms of publication venues, their work often appears in:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Streaming First Story Detection with application to Twitter

    Saša Petrović;Miles Osborne;Victor Lavrenko

  • Re-evaluating the Role of Bleu in Machine Translation Research

    Chris Callison-Burch;Miles Osborne;Philipp Koehn

  • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

    Alexandra Birch;Miles Osborne

  • RT to Win! Predicting Message Propagation in Twitter

    Sasa Petrovic;Miles Osborne;Victor Lavrenko

  • Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation

    Philipp Koehn;Amittai Axelrod;Alexandra Birch-Mayne;Chris Callison-Burch

  • Example selection for bootstrapping statistical parsers

    Mark Steedman;Rebecca Hwa;Stephen Clark;Miles Osborne

  • Improved Statistical Machine Translation Using Paraphrases

    Chris Callison-Burch;Philipp Koehn;Miles Osborne

  • Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic

    Joshua Ritterman;Miles Osborne;Ewan Klein

  • The Edinburgh Twitter Corpus

    Saša Petrović;Miles Osborne;Victor Lavrenko

  • Using maximum entropy for sentence extraction

    Miles Osborne

  • Bootstrapping statistical parsers from small datasets

    Mark Steedman;Miles Osborne;Anoop Sarkar;Stephen Clark

  • Bootstrapping POS taggers using unlabelled data

    Stephen Clark;James R. Curran;Miles Osborne

  • Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora

    Chris Callison-Burch;David Talbot;Miles Osborne

  • Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing

    Matt Post;Chris Callison-Burch;Miles Osborne

  • CCG Supertags in Factored Statistical Machine Translation

    Alexandra Birch;Miles Osborne;Philipp Koehn

  • Can Twitter Replace Newswire for Breaking News

    Sasa Petrovic;Miles Osborne;Richard McCreadie;Craig Macdonald

  • A Discriminative Latent Variable Model for Statistical Machine Translation

    Phil Blunsom;Trevor Cohn;Miles Osborne

  • Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

    Haizhou Li;Chin-Yew Lin;Miles Osborne;Gary Geunbae Lee

  • Active Learning and the Total Cost of Annotation.

    Jason Baldridge;Miles Osborne

  • Using paraphrases for improving first story detection in news and Twitter

    Sasa Petrovic;Miles Osborne;Victor Lavrenko

  • Who will retweet me?: finding retweeters in twitter

    Zhunchen Luo;Miles Osborne;Jintao Tang;Ting Wang

  • Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003)

    Rebecca Hwa;Miles Osborne;Anoop Sarkar;Mark Steedman

Frequent Co-Authors

Chris Callison-Burch
Chris Callison-Burch University of Pennsylvania
Victor Lavrenko
Victor Lavrenko University of Edinburgh
Philipp Koehn
Philipp Koehn Johns Hopkins University
Phil Blunsom
Phil Blunsom University of Oxford
Trevor Cohn
Trevor Cohn University of Melbourne
Mark Steedman
Mark Steedman University of Edinburgh
Jason Baldridge
Jason Baldridge Google (United States)
Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)
Walter Daelemans
Walter Daelemans University of Antwerp
Iadh Ounis
Iadh Ounis University of Glasgow

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