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Found 5 papers, 3 papers with code
Comparing and combining some popular NER approaches on Biomedical tasks
Lastly, we implement a system that learns to combine the predictions of SEQ and SpanPred, generating systems that consistently give high recall and high F1 across all 4 datasets.
Ranked #6 on
Named Entity Recognition (NER)
on NCBI-disease
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NER
This paper summarizes the CLaC submission for the MultiCoNER 2 task which concerns the recognition of complex, fine-grained named entities.
CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets
This paper summarizes the CLaC submission for SMM4H 2022 Task 10 which concerns the recognition of diseases mentioned in Spanish tweets.
Rethinking Evaluation Methodology for Audio-to-Score Alignment
This paper offers a precise, formal definition of an audio-to-score alignment.
Sound Audio and Speech Processing
Convolutional Composer Classification
This paper investigates end-to-end learnable models for attributing composers to musical scores.
