Murthy Devarakonda

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Clinical trial recommendations using Semantics-Based inductive inference and knowledge graph embeddings 2024 Murthy Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
+ Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings 2023 Murthy Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
+ PDF Chat Clinical Trial Information Extraction with BERT 2022 Xiong Liu
Greg L. Hersch
Iya Khalil
Murthy Devarakonda
+ Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation 2022 Xiong Liu
Iya Khalil
Murthy Devarakonda
+ PDF Chat Robustly Pre-Trained Neural Model for Direct Temporal Relation Extraction 2021 Hong Guan
Jianfu Li
Hua Xu
Murthy Devarakonda
+ PDF Chat Clinical Trial Information Extraction with BERT 2021 Xiong Liu
Greg L. Hersch
Iya Khalil
Murthy Devarakonda
+ COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data 2021 Mihir Parmar
Ashwin Karthik Ambalavanan
Hong Guan
Rishab Banerjee
Jitesh Pabla
Murthy Devarakonda
+ PDF Chat A Scalable AI Approach for Clinical Trial Cohort Optimization 2021 Xiong Liu
Cheng Hu Shi
Uday Deore
Yingbo Wang
Myah Tran
Iya Khalil
Murthy Devarakonda
+ Clinical Trial Information Extraction with BERT 2021 Xiong Liu
Greg L. Hersch
Iya Khalil
Murthy Devarakonda
+ A Scalable AI Approach for Clinical Trial Cohort Optimization 2021 Xiong Liu
Cheng Shi
Uday Deore
Yingbo Wang
Myah Tran
Iya Khalil
Murthy Devarakonda
+ Cascade Neural Ensemble for Identifying Scientifically Sound Articles. 2020 Ashwin Karthik Ambalavanan
Murthy Devarakonda
+ Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction 2020 Hong Guan
Jianfu Li
Hua Xu
Murthy Devarakonda
+ Cascade Neural Ensemble for Identifying Scientifically Sound Articles 2020 Ashwin Karthik Ambalavanan
Murthy Devarakonda
+ Knowledge Guided Named Entity Recognition. 2019 Pratyay Banerjee
Kuntal Kumar Pal
Murthy Devarakonda
Chitta Baral
+ Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings 2019 Ananya Poddar
Bharath Dandala
Murthy Devarakonda
+ Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes 2019 Samarth Rawal
Ashok Prakash
Soumya Adhya
Sidharth Kulkarni
Saadat Anwar
Chitta Baral
Murthy Devarakonda
+ Knowledge Guided Named Entity Recognition for BioMedical Text 2019 Pratyay Banerjee
Kuntal Kumar Pal
Murthy Devarakonda
Chitta Baral
+ Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings 2019 Ananya Poddar
Bharath Dandala
Murthy Devarakonda
+ Annotating Electronic Medical Records for Question Answering 2018 Preethi Raghavan
Siddharth Patwardhan
Jennifer J. Liang
Murthy Devarakonda
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat BioBERT: a pre-trained biomedical language representation model for biomedical text mining 2019 Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
5
+ PDF Chat Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing 2020 Xiong Liu
Luca A. Finelli
Greg L. Hersch
Iya Khalil
4
+ Publicly Available Clinical BERT Embeddings 2019 Emily Alsentzer
John R. Murphy
Willie Boag
Wei‐Hung Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
4
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
4
+ ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 2019 Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
4
+ PDF Chat Applications of artificial intelligence in drug development using real-world data 2020 Zhaoyi Chen
Xiong Liu
William R. Hogan
Elizabeth Shenkman
Jiang Bian
4
+ Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets 2019 Yifan Peng
Shankai Yan
Zhiyong Lu
3
+ Enhancing clinical concept extraction with contextual embeddings 2019 Yuqi Si
Jingqi Wang
Hua Xu
Kirk Roberts
2
+ ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission 2019 Kexin Huang
Jaan Altosaar
Rajesh Ranganath
2
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
2
+ PDF Chat Careful Selection of Knowledge to Solve Open Book Question Answering 2019 Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
Chitta Baral
2
+ SciBERT: A Pretrained Language Model for Scientific Text 2019 Iz Beltagy
Kyle Lo
Arman Cohan
2
+ Information Extraction of Clinical Trial Eligibility Criteria 2020 Yitong Tseo
M. I. Salkola
Ahmed Mohamed
Anuj Kumar
Freddy Abnousi
2
+ Neural Models for Information Retrieval 2017 Bhaskar Mitra
Nick Craswell
1
+ The Natural Language Decathlon: Multitask Learning as Question Answering 2018 Bryan McCann
Nitish Shirish Keskar
Caiming Xiong
Richard Socher
1
+ A Survey on Recent Advances in Named Entity Recognition from Deep Learning models 2019 Vikas Yadav
Steven Bethard
1
+ PDF Chat MedSTS: a resource for clinical semantic textual similarity 2018 Yanshan Wang
Naveed Afzal
Sunyang Fu
Liwei Wang
Feichen Shen
Majid Rastegar-Mojarad
Hongfang Liu
1
+ PDF Chat A Knowledge Hunting Framework for Common Sense Reasoning 2018 Ali Emami
Noelia De La Cruz
Adam Trischler
Kaheer Suleman
Jackie Chi Kit Cheung
1
+ PDF Chat Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering 2018 Todor Mihaylov
Peter E. Clark
Tushar Khot
Ashish Sabharwal
1
+ Simple Applications of BERT for Ad Hoc Document Retrieval 2019 Wei Yang
Haotian Zhang
Jimmy Lin
1
+ SocialIQA: Commonsense Reasoning about Social Interactions 2019 Maarten Sap
Hannah Rashkin
Derek Chen
Ronan LeBras
Yejin Choi
1
+ A Multiscale Visualization of Attention in the Transformer Model 2019 Jesse Vig
1
+ XLNet: Generalized Autoregressive Pretraining for Language Understanding 2019 Zhilin Yang
Zihang Dai
Yiming Yang
Jaime Carbonell
Ruslan Salakhutdinov
Quoc V. Le
1
+ What Does BERT Look At? An Analysis of BERT's Attention 2019 Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
1
+ Cross-type biomedical named entity recognition with deep multi-task learning 2018 Xuan Wang
Yu Zhang
Xiang Ren
Yuhao Zhang
Marinka Žitnik
Jingbo Shang
Curtis P. Langlotz
Jiawei Han
1
+ Social IQa: Commonsense Reasoning about Social Interactions 2019 Maarten Sap
Hannah Rashkin
Derek Chen
Ronan Le Bras
Yejin Choi
1
+ XLNet: Generalized Autoregressive Pretraining for Language Understanding 2019 Zhilin Yang
Zihang Dai
Yiming Yang
Jaime Carbonell
Ruslan Salakhutdinov
Quoc V. Le
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ SciBERT: A Pretrained Language Model for Scientific Text 2019 Iz Beltagy
Kyle Lo
Arman Cohan
1
+ Question Answering is a Format; When is it Useful? 2019 Matt Gardner
Jonathan Berant
Hannaneh Hajishirzi
Alon Talmor
Sewon Min
1
+ HuggingFace's Transformers: State-of-the-art Natural Language Processing 2019 Thomas Wolf
Lysandre Debut
Victor Sanh
Julien Chaumond
Clément Delangue
Anthony Moi
Pierric Cistac
Tim Rault
Rémi Louf
Morgan Funtowicz
1
+ A Unified MRC Framework for Named Entity Recognition 2019 Xiaoya Li
Jingrong Feng
Yuxian Meng
Qinghong Han
Fei Wu
Jiwei Li
1
+ PDF Chat Clinical Trial Generalizability Assessment in the Big Data Era: A Review 2020 Zhe He
Xiang D. Tang
Xi Yang
Yi Guo
Thomas J. George
Neil Charness
Kelsa Bartley
William R. Hogan
Jiang Bian
1
+ How Additional Knowledge can Improve Natural Language Commonsense Question Answering? 2019 Arindam Mitra
Pratyay Banerjee
Kuntal Kumar Pal
Swaroop Mishra
Chitta Baral
1
+ PDF Chat OpenBioLink: a benchmarking framework for large-scale biomedical link prediction 2020 Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
1
+ CORD-19: The COVID-19 Open Research Dataset 2020 Lucy Lu Wang
Kyle Lo
Yoganand Chandrasekhar
Russell Reas
Jiangjiang Yang
Darrin Eide
Kathryn Funk
Rodney Kinney
Ziyang Liu
William Merrill
1
+ Information Extraction of Clinical Trial Eligibility Criteria. 2020 Yitong Tseo
M. I. Salkola
Ahmed Allam Mohamed
Anuj Kumar
Freddy Abnousi
1
+ PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings 2020 Mehdi Ali
Max Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Sahand Sharifzadeh
Volker Tresp
Jens Lehmann
1
+ PDF Chat SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation 2017 Daniel Cer
Mona Diab
Eneko Agirre
Iñigo López-Gazpio
Lucia Specia
1
+ PDF Chat Evaluating eligibility criteria of oncology trials using real-world data and AI 2021 Ruishan Liu
Shemra Rizzo
Samuel Whipple
Navdeep Pal
Arturo López Pineda
Michael W. Lu
Brandon Arnieri
Ying Lü
William B. Capra
Ryan Copping
1
+ Graph neural networks: A review of methods and applications 2020 Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
1
+ PDF Chat Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer’s disease 2021 Zhaoyi Chen
Hansi Zhang
Yi Guo
Thomas J. George
Mattia Prosperi
William R. Hogan
Zhe He
Elizabeth Shenkman
Fei Wang
Jiang Bian
1
+ Clinical Relation Extraction Using Transformer-based Models 2021 Xi Yang
Zehao Yu
Yi Guo
Jiang Bian
Yonghui Wu
1
+ PDF Chat Clinical Trial Information Extraction with BERT 2021 Xiong Liu
Greg L. Hersch
Iya Khalil
Murthy Devarakonda
1
+ PDF Chat Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework 2021 Mehdi Ali
Max Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Mikhail Galkin
Sahand Sharifzadeh
Asja Fischer
Volker Tresp
Jens Lehmann
1
+ NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs 2021 Mikhail Galkin
Etienne Denis
Jiapeng Wu
William L. Hamilton
1
+ A Scalable AI Approach for Clinical Trial Cohort Optimization 2021 Xiong Liu
Cheng Shi
Uday Deore
Yingbo Wang
Myah Tran
Iya Khalil
Murthy Devarakonda
1
+ Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs 2023 Siyuan Wang
Zhongyu Wei
Han Meng
Zhihao Fan
Haijun Shan
Qi Zhang
Xuanjing Huang
1
+ Teaching Machines to Read and Comprehend 2015 Karl Moritz Hermann
Tomáš Kočiský
Edward Grefenstette
Lasse Espeholt
Will Kay
Mustafa Suleyman
Phil Blunsom
1
+ Large Language Models and Knowledge Graphs: Opportunities and Challenges 2023 Jeff Z. Pan
Simon Razniewski
Jan-Christoph Kalo
Sneha Singhania
Jiaoyan Chen
Stefan Dietze
Hajira Jabeen
Janna Omeliyanenko
Wen Zhang
Matteo Lissandrini
1