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Found 10 papers, 3 papers with code
Stress Test Evaluation of Biomedical Word Embeddings
The success of pretrained word embeddings has motivated their use in the biomedical domain, with contextualized embeddings yielding remarkable results in several biomedical NLP tasks.
Word Embeddings for Chemical Patent Natural Language Processing
We evaluate chemical patent word embeddings against known biomedical embeddings and show that they outperform the latter extrinsically and intrinsically.
Disease Normalization with Graph Embeddings
The detection and normalization of diseases in biomedical texts are key biomedical natural language processing tasks.
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
In this paper, we explore the NER performance of a BiLSTM-CRF model utilising pre-trained word embeddings, character-level word representations and contextualized ELMo word representations for chemical patents.
Detecting Chemical Reactions in Patents
Extracting chemical reactions from patents is a crucial task for chemists working on chemical exploration.
Towards Confidence Estimation for Typed Protein-Protein Relation Extraction
In this paper, we discuss this task and propose different approaches for confidence estimation and a pipeline to evaluate such methods.
