| Cancer Registry Information Extraction via Transfer Learning. | 0 | 0.34 | 2020 |
| Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. | 2 | 0.42 | 2019 |
| Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature. | 0 | 0.34 | 2019 |
| An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media. | 0 | 0.34 | 2018 |
| Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information. | 0 | 0.34 | 2017 |
| NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task. | 0 | 0.34 | 2017 |
| Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms. | 0 | 0.34 | 2017 |
| NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions. | 2 | 0.43 | 2016 |
| MET network in PubMed: a text-mined network visualization and curation system. | 4 | 0.40 | 2016 |
| BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. | 4 | 0.40 | 2016 |
| Overview of the interactive task in BioCreative V. | 7 | 0.45 | 2016 |
| Statistical Principle-Based Approach for Detecting miRNA-Target Gene Interaction Articles | 0 | 0.34 | 2016 |
| A preliminary study on automatic identification of patient smoking status in unstructured electronic health records | 2 | 0.41 | 2015 |
| TMUNSW: Identification of disorders and normalization to SNOMED-CT terminology in unstructured clinical notes | 1 | 0.39 | 2015 |
| The CHEMDNER corpus of chemicals and drugs and its annotation principles | 72 | 2.17 | 2015 |
| Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization. | 18 | 0.93 | 2015 |
| A context-aware approach for progression tracking of medical concepts in electronic medical records | 7 | 0.52 | 2015 |
| Section Heading Recognition in Electronic Health Records Using Conditional Random Fields. | 2 | 0.41 | 2014 |
| LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations. | 4 | 0.45 | 2014 |
| TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7 | 3 | 0.47 | 2014 |
| Joint Learning of Entity Linking Constraints Using a Markov-Logic Network. | 1 | 0.35 | 2014 |
| HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes. | 2 | 0.42 | 2014 |
| TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries. | 4 | 0.47 | 2013 |
| T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes. | 3 | 0.41 | 2013 |
| Coreference resolution of medical concepts in discharge summaries by exploiting contextual information. | 7 | 0.44 | 2012 |
| Enhancing search results with semantic annotation using augmented browsing | 1 | 0.41 | 2011 |
| Entity Disambiguation Using a Markov-Logic Network. | 11 | 0.61 | 2011 |
| The gene normalization task in BioCreative III. | 66 | 2.50 | 2011 |
| Multistage Gene Normalization and SVM-Based Ranking for Protein Interactor Extraction in Full-Text Articles | 21 | 1.02 | 2010 |
| Global ranking via data fusion | 1 | 0.35 | 2010 |
| PubMed-EX: a web browser extension to enhance PubMed search with text mining features. | 4 | 0.46 | 2009 |
| Using contextual information to clarify Gene Normalization ambiguity | 9 | 0.59 | 2009 |
| BIOSMILE web search: a web application for annotating biomedical entities and relations. | 6 | 0.45 | 2008 |
| Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement. | 4 | 0.42 | 2008 |
| Result identification for biomedical abstracts using Conditional Random Fields. | 3 | 0.46 | 2008 |
| A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis | 2 | 0.38 | 2008 |
| Protein-Protein Interaction Abstract Identification with Contextual Bag of Words | 3 | 0.42 | 2007 |
| On Closed Task of Chinese Word Segmentation: An Improved CRF Model Coupled with Character Clustering and Automatically Generated Template Matching | 12 | 0.89 | 2006 |
| Chinese Word Segmentation with Minimal Linguistic Knowledge: An Improved Conditional Random Fields Coupled with Character Clustering and Automatically Discovered Template Matching | 0 | 0.34 | 2006 |
