Miles Osborne
48 papers · 2000–2016 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (16)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(6)
πΊ
Lone Wolf
(3)
π
Keyword Champion
π±
Topic Pioneer
π
Century Club
(48)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(17)
Conferences
ACL (15)
CONLL (8)
NAACL (8)
EMNLP (6)
COLING (3)
IJCNLP (3)
EACL (2)
JMLR (2)
NIPS (1)
Top co-authors
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 Doesnβt 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