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Neural Entity Recognition with Gazetteer based Fusion

May 27, 2021
Qing Sun, Parminder Bhatia

* the Association for Computational Linguistics (ACL) 2021 

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Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics

May 26, 2021
Luyang Kong, Christopher Winestock, Parminder Bhatia

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Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes

Apr 27, 2021
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, Parminder Bhatia

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An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training

Oct 01, 2020
Kristjan Arumae, Qing Sun, Parminder Bhatia

* arXiv admin note: text overlap with arXiv:2004.03794 

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Improve black-box sequential anomaly detector relevancy with limited user feedback

Sep 15, 2020
Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot

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COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature

Jul 24, 2020
Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis

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Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network

Jun 17, 2020
Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi

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Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events

Apr 08, 2020
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan

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CALM: Continuous Adaptive Learning for Language Modeling

Apr 08, 2020
Kristjan Arumae, Parminder Bhatia

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LATTE: Latent Type Modeling for Biomedical Entity Linking

Nov 21, 2019
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

* AAAI 2020 Conference 

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Towards Annotating and Creating Sub-Sentence Summary Highlights

Oct 17, 2019
Kristjan Arumae, Parminder Bhatia, Fei Liu

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Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service

Oct 15, 2019
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel

* ICMLA 2019. $\copyright$ 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses in any current or future media including reprinting/republishing this material for advertising, promotional purposes, creating new collective works, for resale or redistribution to servers or lists, reuse of any copyrighted component of this work in other works. arXiv admin note: text overlap with arXiv:1812.05270 

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Relation Extraction using Explicit Context Conditioning

Feb 25, 2019
Gaurav Singh, Parminder Bhatia

* Accepted for Publication at NAACL 2019 

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Dynamic Transfer Learning for Named Entity Recognition

Jan 18, 2019
Parminder Bhatia, Kristjan Arumae, Busra Celikkaya

* AAAI 2019 Workshop on Health Intelligence 

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End-to-end Joint Entity Extraction and Negation Detection for Clinical Text

Jan 18, 2019
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Aaron Colak

* Accepted to the 2019 Association for the Advancement of Artificial Intelligence (AAAI) Workshop on Health Intelligence 

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Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning

Dec 04, 2018
Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha Kass-hout

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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soc2seq: Social Embedding meets Conversation Model

Nov 27, 2017
Parminder Bhatia, Marsal Gavalda, Arash Einolghozati

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Morphological Priors for Probabilistic Neural Word Embeddings

Sep 24, 2016
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein

* Appeared at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016, Austin) 

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Better Document-level Sentiment Analysis from RST Discourse Parsing

Sep 11, 2015
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein

* Published at Empirical Methods in Natural Language Processing (EMNLP 2015) 

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