Vivek V. Datla

Affiliations:
  • Philips Research North America, Cambridge, MA, USA
  • Pacific Northwest National Laboratory, Richland, WA, USA
  • University of Memphis, Institute of Intelligent Systems, TN, USA


According to our database1, Vivek V. Datla authored at least 39 papers between 2007 and 2020.

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Bibliography

2020
An Ontology-driven Treatment Article Retrieval System for Precision Oncology.
CoRR, 2020



Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain.
Proceedings of the Working Notes of CLEF 2020, 2020

2019


VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019.
Proceedings of the Working Notes of CLEF 2019, 2019

BoostER: A Performance Boosting Module for Biomedical Entity Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Improving Disease Named Entity Recognition for Clinical Trial Matching.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

2017
Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study.
Proceedings of the Machine Learning for Health Care Conference, 2017

Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Attention-Based Medical Caption Generation with Image Modality Classification and Clinical Concept Mapping.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks.
Proceedings of the Working Notes of CLEF 2017, 2017

Automated clinical diagnosis: The role of content in various sections of a clinical document.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Condensed Memory Networks for Clinical Diagnostic Inferencing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language.
CoRR, 2016

Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Neural Paraphrase Generation with Stacked Residual LSTM Networks.
Proceedings of the COLING 2016, 2016

Neural Clinical Paraphrase Generation with Attention.
Proceedings of the Clinical Natural Language Processing Workshop, 2016

Discourse, Health and Well-Being of Military Populations Through the Social Media Lens.
Proceedings of the World Wide Web and Population Health Intelligence, 2016

2015
Predicting the top and bottom ranks of billboard songs using Machine Learning.
CoRR, 2015

2014
Linguistic Features Predict the Truthfulness of Short Political Statements.
Int. J. Comput. Linguistics Appl., 2014

Part of Speech Induction from Distributional Features: Balancing Vocabulary and Context.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2012
From Head to Toe: Embodiment Through Statistical Linguistic Frequencies.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Social Networks are Encoded in Language.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Capturing disease-symptom relations using higher-order co-occurrence algorithms.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
On Performance Modeling and Prediction in Support of Scientific Workflow Optimization.
Proceedings of the World Congress on Services, 2011

Using a feedback system to enhance chart note quality in Electronic Health Records.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

2007
LIDA: A Computational Model of Global Workspace Theory and Developmental Learning.
Proceedings of the AI and Consciousness: Theoretical Foundations and Current Approaches, 2007


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