← Authors

Miles Osborne

48 papers · 2000–2016 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🐺 Lone Wolf (3) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ’Ž Century Club (48) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (17)

Conferences

ACL (15) CONLL (8) NAACL (8) EMNLP (6) COLING (3) IJCNLP (3) EACL (2) JMLR (2) NIPS (1)

Top co-authors

Victor Lavrenko (7) David Talbot (6) Trevor Cohn (6) Phil Blunsom (5) Andrew Smith (4) Chris Callison-Burch (4) Dominik Wurzer (3) Philipp Koehn (3) Stephen Clark (3) Jason Baldridge (3)

Keywords

shallow parsing (2) ensemble learning (1) bayesian inference (1) natural language processing (1) machine translation (1) syntactic parsing (1) non-parametric bayesian (1) machine learning (1) distribution shift (1) synchronous context-free grammars (1) grammar induction (1) synchronous context free grammars (1) noise tolerance (1) noise-tolerant learning (1) variational baye (1) maximum entropy (1) synchronous grammar (1)

Papers

Geolocation for Twitter: Timing Matters NAACL 2016
Twitter-scale New Event Detection via K-term Hashing EMNLP 2015
Tracking unbounded Topic Streams IJCNLP 2015
Sampling Techniques for Streaming Cross Document Coreference Resolution NAACL 2015
Tracking unbounded Topic Streams ACL 2015
Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media ACL 2014
Exponential Reservoir Sampling for Streaming Language Models ACL 2014
Variable Bit Quantisation for LSH ACL 2013
Using paraphrases for improving first story detection in news and Twitter NAACL 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ACL 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ACL 2012
Proceedings of the ACL 2011 Student Session ACL 2011
Reordering Metrics for MT ACL 2011
Stream-based Translation Models for Statistical Machine Translation NAACL 2010
Streaming First Story Detection with application to Twitter NAACL 2010
A Gibbs Sampler for Phrasal Synchronous Grammar Induction ACL 2009
Stream-based Randomised Language Models for SMT EMNLP 2009
A Gibbs Sampler for Phrasal Synchronous Grammar Induction IJCNLP 2009
A Discriminative Latent Variable Model for Statistical Machine Translation ACL 2008
Probabilistic Inference for Machine Translation EMNLP 2008
Bayesian Synchronous Grammar Induction NIPS 2008
Predicting Success in Machine Translation EMNLP 2008
Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap EMNLP 2007
Randomised Language Modelling for Statistical Machine Translation ACL 2007
Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap CONLL 2007
Modelling Lexical Redundancy for Machine Translation COLING 2006
Modelling Lexical Redundancy for Machine Translation ACL 2006
Using Gazetteers in Discriminative Information Extraction CONLL 2006
Re-evaluating the Role of Bleu in Machine Translation Research EACL 2006
Improved Statistical Machine Translation Using Paraphrases NAACL 2006
Logarithmic Opinion Pools for Conditional Random Fields ACL 2005
Scaling Conditional Random Fields Using Error-Correcting Codes ACL 2005
Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free IJCNLP 2005
Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora ACL 2004
Ensemble-based Active Learning for Parse Selection NAACL 2004
Active Learning and the Total Cost of Annotation EMNLP 2004
Bootstrapping statistical parsers from small datasets EACL 2003
Bootstrapping POS-taggers using unlabelled data CONLL 2003
Active learning for HPSG parse selection CONLL 2003
Example Selection for Bootstrapping Statistical Parsers NAACL 2003
A Very Very Large Corpus Doesn’t Always Yield Reliable Estimates CONLL 2002
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing JMLR 2002
Improved Iterative Scaling Can Yield Multiple Globally Optimal Models with Radically Differing Performance Levels COLING 2002
Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002
Learning Computational Grammars CONLL 2001
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample COLING 2000
Shallow Parsing as Part-of-Speech Tagging CONLL 2000
Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars CONLL 2000