9 citations · 10 across the 4 of their papers we have counts for
5 papers · 1 filter
Knowledge-Driven Cross-Document Relation Extraction
Monika Jain, Raghava Mutharaju, Kuldeep Singh +1
Relation extraction (RE) is a well-known NLP application often treated as a sentence- or document-level task. However, a handful of recent efforts explore it across documents or in…
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…
Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization
Jiho Noh, Ramakanth Kavuluru
Information retrieval (IR) for precision medicine (PM) often involves looking for multiple pieces of evidence that characterize a patient case. This typically includes at least the…