Andrew MacKinlay

Also published as: Andrew McKinlay


2019

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Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association
Meladel Mistica | Massimo Piccardi | Andrew MacKinlay
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association

2017

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Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding
Quan Tran | Andrew MacKinlay | Antonio Jimeno Yepes
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Recurrent Neural Network models are the state-of-the-art for Named Entity Recognition (NER). We present two innovations to improve the performance of these models. The first innovation is the introduction of residual connections between the Stacked Recurrent Neural Network model to address the degradation problem of deep neural networks. The second innovation is a bias decoding mechanism that allows the trained system to adapt to non-differentiable and externally computed objectives, such as the entity-based F-measure. Our work improves the state-of-the-art results for both Spanish and English languages on the standard train/development/test split of the CoNLL 2003 Shared Task NER dataset.

2016

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Syndromic Surveillance using Generic Medical Entities on Twitter
Pin Huang | Andrew MacKinlay | Antonio Jimeno Yepes
Proceedings of the Australasian Language Technology Association Workshop 2016

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Temporal Modelling of Geospatial Words in Twitter
Bo Han | Antonio Jimeno Yepes | Andrew MacKinlay | Lianhua Chi
Proceedings of the Australasian Language Technology Association Workshop 2016

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NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks
Antonio Jimeno Yepes | Andrew MacKinlay
Proceedings of the Australasian Language Technology Association Workshop 2016

2015

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Investigating Public Health Surveillance using Twitter
Antonio Jimeno Yepes | Andrew MacKinlay | Bo Han
Proceedings of BioNLP 15

2014

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Deep Belief Networks and Biomedical Text Categorisation
Antonio Jimeno Yepes | Andrew MacKinlay | Justin Bedo | Rahil Garvani | Qiang Chen
Proceedings of the Australasian Language Technology Association Workshop 2014

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Identifying Twitter Location Mentions
Bo Han | Antonio Jimeno Yepes | Andrew MacKinlay | Qiang Chen
Proceedings of the Australasian Language Technology Association Workshop 2014

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Integrating UIMA with Alveo, a human communication science virtual laboratory
Dominique Estival | Steve Cassidy | Karin Verspoor | Andrew MacKinlay | Denis Burnham
Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT

2013

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How Noisy Social Media Text, How Diffrnt Social Media Sources?
Timothy Baldwin | Paul Cook | Marco Lui | Andrew MacKinlay | Li Wang
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Recognising Sets and Their Elements: Tree Kernels for Entity Instantiation Identification
Andrew McKinlay | Katja Markert
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Long Papers

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Extracting Biomedical Events and Modifications Using Subgraph Matching with Noisy Training Data
Andrew MacKinlay | David Martinez | Antonio Jimeno Yepes | Haibin Liu | W. John Wilbur | Karin Verspoor
Proceedings of the BioNLP Shared Task 2013 Workshop

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Generalizing an Approximate Subgraph Matching-based System to Extract Events in Molecular Biology and Cancer Genetics
Haibin Liu | Karin Verspoor | Donald C. Comeau | Andrew MacKinlay | W. John Wilbur
Proceedings of the BioNLP Shared Task 2013 Workshop

2012

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The Effects of Semantic Annotations on Precision Parse Ranking
Andrew MacKinlay | Rebecca Dridan | Diana McCarthy | Timothy Baldwin
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

2011

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Modelling Entity Instantiations
Andrew McKinlay | Katja Markert
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Treeblazing: Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking
Andrew MacKinlay | Rebecca Dridan | Dan Flickinger | Stephan Oepen | Timothy Baldwin
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

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Intelligent Linux Information Access by Data Mining: the ILIAD Project
Timothy Baldwin | David Martinez | Richard Penman | Su Nam Kim | Marco Lui | Li Wang | Andrew MacKinlay
Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media

2009

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Biomedical Event Annotation with CRFs and Precision Grammars
Andrew MacKinlay | David Martinez | Timothy Baldwin
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task

2006

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Reconsidering Language Identification for Written Language Resources
Baden Hughes | Timothy Baldwin | Steven Bird | Jeremy Nicholson | Andrew MacKinlay
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

The task of identifying the language in which a given document (ranging from a sentence to thousands of pages) is written has been relatively well studied over several decades. Automated approachesto written language identification are used widely throughout research and industrial contexts, over both oral and written source materials. Despite this widespread acceptance, a review of previous research in written language identification reveals a number of questions which remain openand ripe for further investigation.

2005

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POS Tagging with a More Informative Tagset
Andrew MacKinlay | Timothy Baldwin
Proceedings of the Australasian Language Technology Workshop 2005

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Using Diverse Information Sources to Retrieve Samples of Low Density Languages
Andrew MacKinlay
Proceedings of the Australasian Language Technology Workshop 2005