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Found 3 papers, 0 papers with code
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).
On the duals of the Fibonacci and Catalan-Fibonacci polynomials and Motzkin paths
We use the inversion of coefficient arrays to define dual polynomials to the Fibonacci and Catalan-Fibonacci polynomials, and we explore the properties of these new polynomials sequences.
Combinatorics Primary 11B39, Secondary 11B83, 15B36, 11C20
Deep Learning for Identification of Adverse Effect Mentions In Twitter Data
Social Media Mining for Health Applications (SMM4H) Adverse Effect Mentions Shared Task challenges participants to accurately identify spans of text within a tweet that correspond to Adverse Effects (AEs) resulting from medication usage (Weissenbacher et al., 2019).
