40 citations · 119 across the 19 of their papers we have counts for
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Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case
Shashank Gupta, Xuguang Ai, Ramakanth Kavuluru
End-to-end relation extraction (E2ERE) is an important and realistic application of natural language processing (NLP) in biomedicine. In this paper, we aim to compare three prevail…
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies
Xuguang Ai, Ramakanth Kavuluru
End-to-end relation extraction (E2ERE) is an important task in information extraction, more so for biomedicine as scientific literature continues to grow exponentially. E2ERE typic…
End-to-End -ary Relation Extraction for Combination Drug Therapies
Yuhang Jiang, Ramakanth Kavuluru
Combination drug therapies are treatment regimens that involve two or more drugs, administered more commonly for patients with cancer, HIV, malaria, or tuberculosis. Currently ther…
COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
Yuhang Jiang, Ramakanth Kavuluru
As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthc…