Ramakanth Kavuluru | DeepAI

DeepAI AI Chat

Featured Co-authors

Yu Zhang
406 publications
Yifan Peng
67 publications
Zhiyong Lu
57 publications
Nathan Jacobs
41 publications
Jin Chen
31 publications
Antonio Jimeno Yepes
20 publications
Gongbo Liang
11 publications
Anthony Rios
10 publications
Yuhang Jiang
10 publications
Xiaoqin Wang
8 publications
Halil Kilicoglu
7 publications

∙ 04/03/2023

End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies

End-to-end relation extraction (E2ERE) is an important task in informati...

0 Xuguang Ai, et al. ∙

∙ 03/29/2023

End-to-End n-ary Relation Extraction for Combination Drug Therapies

Combination drug therapies are treatment regimens that involve two or mo...

0 Yuhang Jiang, et al. ∙

∙ 03/19/2023

COVID-19 event extraction from Twitter via extractive question answering with continuous prompts

As COVID-19 ravages the world, social media analytics could augment trad...

0 Yuhang Jiang, et al. ∙

∙ 02/25/2022

Deep neural networks for fine-grained surveillance of overdose mortality

Surveillance of drug overdose deaths relies on death certificates for id...

0 Patrick J. Ward, et al. ∙

∙ 03/16/2021

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer

Opioid Use Disorder (OUD) is a public health crisis costing the US billi...

0 Sajjad Fouladvand, et al. ∙

∙ 12/22/2020

Improved Biomedical Word Embeddings in the Transformer Era

Biomedical word embeddings are usually pre-trained on free text corpora ...

0 Jiho Noh, et al. ∙

∙ 12/17/2020

Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

Information retrieval (IR) for precision medicine (PM) often involves lo...

0 Jiho Noh, et al. ∙

∙ 10/06/2020

Weakly-Supervised Feature Learning via Text and Image Matching

When training deep neural networks for medical image classification, obt...

11 Gongbo Liang, et al. ∙

∙ 10/28/2019

Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels

Preventable adverse events as a result of medical errors present a growi...

0 Tung Tran, et al. ∙

∙ 10/28/2019

Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels

Preventable adverse events as a result of medical errors present a growi...

0 Tung Tran, et al. ∙

∙ 05/17/2019

A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels

Preventable adverse drug reactions as a result of medical errors present...

0 Tung Tran, et al. ∙

∙ 05/17/2019

Neural Metric Learning for Fast End-to-End Relation Extraction

Relation extraction (RE) is an indispensable information extraction task...

0 Tung Tran, et al. ∙

∙ 02/05/2018

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models

Text mining the relations between chemicals and proteins is an increasin...

0 Yifan Peng, et al. ∙

∙ 10/26/2016

Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings

Biomedical word sense disambiguation (WSD) is an important intermediate ...

0 A. K. M. Sabbir, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world