Search Results for author:
Found 10 papers, 1 papers with code
NLP@VCU: Identifying Adverse Effects in English Tweets for Unbalanced Data
This paper describes our participation in the Social Media Mining for Health Application (SMM4H 2020) Challenge Track 2 for identifying tweets containing Adverse Effects (AEs).
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context
We hypothesize that explicit integration of contextual information into an Multi-task Learning framework would emphasize the significance of context for boosting performance in jointly learning Named Entity Recognition (NER) and Relation Extraction (RE).
Transferability of Neural Network Clinical De-identification Systems
We measured: transferability from external sources; transferability across note types; the contribution of external source data when in-domain training data are available; and transferability across institutions.
NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction
Here we explore parsing issues that arose when running our system, a tool built on Newswire text, on clinical notes in the THYME corpus.
SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification
This paper describes our system, SciREL (Scientific abstract RELation extraction system), developed for the SemEval 2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers.
Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions
Temporal information extraction is a challenging task.
Ranked #3 on
Timex normalization
on PNT
BIG-bench Machine Learning
Temporal Information Extraction
+1
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation
We modify the vector representations in the 2-MRD WSD algorithm, and evaluate four dimensionality reduction methods: Word Embeddings using Continuous Bag of Words and Skip Gram, Singular Value Decomposition (SVD), and Principal Component Analysis (PCA).
