| TopEx: topic exploration of COVID-19 corpora - Results from the BioCreative VII Challenge Track 4 | 1 | 0.36 | 2022 |
| Effects of data and entity ablation on multitask learning models for biomedical entity recognition | 0 | 0.34 | 2022 |
| Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization | 0 | 0.34 | 2022 |
| Review: Privacy-Preservation in the Context of Natural Language Processing | 0 | 0.34 | 2021 |
| Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be | 0 | 0.34 | 2021 |
| Measuring the quality of patient–physician communication | 1 | 0.37 | 2020 |
| Adverse drug event detection using reason assignments in FDA drug labels | 0 | 0.34 | 2020 |
| Untapped Potential of Clinical Text for Opioid Surveillance. | 0 | 0.34 | 2019 |
| Indirect association and ranking hypotheses for literature based discovery. | 0 | 0.34 | 2019 |
| NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction | 0 | 0.34 | 2019 |
| Association measures for estimating semantic similarity and relatedness between biomedical concepts. | 0 | 0.34 | 2019 |
| TAC SRIE 2018 - Extracting Systematic Review Information with MedaCy. | 0 | 0.34 | 2018 |
| SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification. | 0 | 0.34 | 2018 |
| Local ensemble learning from imbalanced and noisy data for word sense disambiguation. | 1 | 0.35 | 2018 |
| Vector representations of multi-word terms for semantic relatedness. | 3 | 0.45 | 2018 |
| Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions. | 0 | 0.34 | 2018 |
| Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation. | 0 | 0.34 | 2017 |
| DroidVisor: An Android secure application recommendation system. | 0 | 0.34 | 2017 |
| Parsing MetaMap Files in Hadoop. | 0 | 0.34 | 2017 |
| Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second-Order Vectors. | 0 | 0.34 | 2017 |
| Sentiment Classification From Multi-Class Imbalanced Twitter Data Using Binarization | 2 | 0.41 | 2017 |
| Semantic Association for Literature Based Discovery. | 0 | 0.34 | 2017 |
| Literature Based Discovery: Models, methods, and trends. | 7 | 0.56 | 2017 |
| Improving Correlation with Human Judgments by Embedding Second Order Vectors with Semantic Similarity. | 0 | 0.34 | 2016 |
| VCU at Semeval-2016 Task 14: Evaluating definitional-based similarity measure for semantic taxonomy enrichment. | 0 | 0.34 | 2016 |
| VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter. | 0 | 0.34 | 2016 |
| Nanomedicine Entity Extraction. | 0 | 0.34 | 2016 |
| Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs. | 6 | 0.45 | 2015 |
| U-path: An undirected path-based measure of semantic similarity. | 2 | 0.36 | 2014 |
| Determining the difficulty of Word Sense Disambiguation | 6 | 0.73 | 2014 |
| Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text | 23 | 0.74 | 2013 |
| UMLS: : Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts. | 1 | 0.35 | 2013 |
| Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet | 13 | 0.69 | 2012 |
| Measuring the similarity and relatedness of concepts in the medical domain: IHI 2012 tutorial overview | 1 | 0.35 | 2012 |
| Evaluating Semantic Relatedness and Similarity Measures with Standardized MedDRA Queries. | 4 | 0.40 | 2012 |
| Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. | 37 | 1.20 | 2011 |
| The ngram statistics package (Text::NSP): a flexible tool for identifying ngrams, collocations, and word associations | 8 | 0.55 | 2011 |
| Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation. | 6 | 0.58 | 2011 |
| Collocation analysis for UMLS knowledge-based word sense disambiguation. | 13 | 0.47 | 2011 |
| Towards a framework for developing semantic relatedness reference standards. | 28 | 0.96 | 2011 |
| Automated identification of synonyms in biomedical acronym sense inventories | 3 | 0.42 | 2010 |
| UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity | 64 | 2.32 | 2009 |
| An Unsupervised Vector Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline | 22 | 0.82 | 2008 |
| Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain | 24 | 1.29 | 2007 |
| Determining the syntactic structure of medical terms in clinical notes | 3 | 0.43 | 2007 |
| The Duluth word alignment system | 1 | 0.93 | 2003 |
