How Noisy Social Media Text, How Diffrnt Social Media Sources? T Baldwin, P Cook, M Lui, A MacKinlay, L Wang 6th International Joint Conference on Natural Language Processing, 0 | 331* | |
Reconsidering Language Identification for Written Language Resources. B Hughes, T Baldwin, S Bird, J Nicholson, A MacKinlay LREC, 485-488, 2006 | 126 | 2006 |
Named entity recognition with stack residual lstm and trainable bias decoding Q Tran, A MacKinlay, AJ Yepes arXiv preprint arXiv:1706.07598, 2017 | 72 | 2017 |
Investigating public health surveillance using twitter AJ Yepes, A MacKinlay, B Han Proceedings of BioNLP 15, 164-170, 2015 | 51 | 2015 |
Identifying diseases, drugs, and symptoms in twitter A Jimeno-Yepes, A MacKinlay, B Han, Q Chen MEDINFO 2015: eHealth-enabled Health, 643-647, 2015 | 46 | 2015 |
Cross-hospital portability of information extraction of cancer staging information D Martinez, G Pitson, A MacKinlay, L Cavedon Artificial intelligence in medicine 62 (1), 11-21, 2014 | 28 | 2014 |
The effects of part-of-speech tagsets on tagger performance A MacKinlay Undergraduate Thesis, University of Melbourne, 2005 | 24 | 2005 |
Stage-based variation in the effect of primary tumor side on all stages of colorectal cancer recurrence and survival MM Lee, A MacKinlay, C Semira, C Schieber, AJJ Yepes, B Lee, R Wong, ... Clinical colorectal cancer 17 (3), e569-e577, 2018 | 23 | 2018 |
Biomedical event annotation with CRFs and precision grammars A MacKinlay, D Martinez, T Baldwin Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, 77-85, 2009 | 23 | 2009 |
Ner for medical entities in twitter using sequence to sequence neural networks AJ Yepes, A MacKinlay Proceedings of the Australasian Language Technology Association Workshop …, 2016 | 22 | 2016 |
Deep belief networks and biomedical text categorisation AJ Yepes, A MacKinlay, J Bedo, R Garvani, Q Chen Proceedings of the Australasian Language Technology Association Workshop …, 2014 | 22 | 2014 |
Detection of adverse drug reactions using medical named entities on Twitter A MacKinlay, H Aamer, AJ Yepes AMIA Annual Symposium Proceedings 2017, 1215, 2017 | 19 | 2017 |
Generalizing an approximate subgraph matching-based system to extract events in molecular biology and cancer genetics H Liu, K Verspoor, DC Comeau, A MacKinlay, WJ Wilbur Proceedings of the BioNLP Shared Task 2013 Workshop, 76-85, 2013 | 19 | 2013 |
Extracting structured information from free-text medication prescriptions using dependencies AD MacKinlay, KM Verspoor Proceedings of the ACM sixth international workshop on Data and text mining …, 2012 | 14 | 2012 |
The Effects of Semantic Annotations on Precision Parse Ranking A MacKinlay, R Dridan, D McCarthy, T Baldwin *SEM 2012: The First Joint Conference on Lexical and Computational Semantics …, 2012 | 14 | 2012 |
Extracting Biomedical Events and Modifications Using Subgraph Matching with Noisy Training Data A MacKinlay, D Martinez, AJ Yepes, H Liu, WJ Wilbur, K Verspoor 51st Annual Meeting of the Association for Computational Linguistics …, 2013 | 12 | 2013 |
Identifying twitter location mentions B Han, AJ Yepes, A MacKinlay, Q Chen Proceedings of the Australasian Language Technology Association Workshop …, 2014 | 11 | 2014 |
Intelligent linux information access by data mining: the ILIAD project T Baldwin, D Martinez, R Penman, SN Kim, M Lui, L Wang, A MacKinlay Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a …, 2010 | 11 | 2010 |
Simple similarity-based question answering strategies for biomedical text D Martinez, A MacKinlay, D Mollá-Aliod, L Cavedon, K Verspoor Cross-Lingual Evaluation Forum, 2012 | 10 | 2012 |
A Baseline Approach to the RTE5 Search Pilot. A MacKinlay, T Baldwin TAC, 2009 | 10 | 2009 |