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10/24/2022
Enhancing Label Consistency on Document-level Named Entity Recognition
Named entity recognition (NER) is a fundamental part of extracting infor...
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01/06/2022
BERN2: an advanced neural biomedical named entity recognition and normalization tool
In biomedical natural language processing, named entity recognition (NER...
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06/11/2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Graph Neural Networks (GNNs) have been widely applied to various fields ...
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04/15/2021
Regularizing Models via Pointwise Mutual Information for Named Entity Recognition
In Named Entity Recognition (NER), pre-trained language models have been...
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09/26/2020
Can pandemics transform scientific novelty? Evidence from COVID-19
Scientific novelty is important during the pandemic due to its critical ...
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07/01/2020
Transferability of Natural Language Inference to Biomedical Question Answering
Biomedical question answering (QA) is a challenging problem due to the s...
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06/29/2020
Answering Questions on COVID-19 in Real-Time
The recent outbreak of the novel coronavirus is wreaking havoc on the wo...
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05/08/2020
Building a PubMed knowledge graph
PubMed is an essential resource for the medical domain, but useful conce...
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02/18/2020
Learning by Semantic Similarity Makes Abstractive Summarization Better
One of the obstacles of abstractive summarization is the presence of var...
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09/18/2019
Pre-trained Language Model for Biomedical Question Answering
The recent success of question answering systems is largely attributed t...
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08/07/2019
