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Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics


Nov 15, 2022
Carlos Aguirre, Mark Dredze, Philip Resnik

* Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 6 pages 

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Are Neural Topic Models Broken?


Oct 28, 2022
Alexander Hoyle, Pranav Goel, Rupak Sarkar, Philip Resnik

* Accepted to Findings of EMNLP 2022 

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Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence


Jul 05, 2021
Alexander Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan Boyd-Graber, Philip Resnik


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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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Improving Neural Topic Models using Knowledge Distillation


Oct 05, 2020
Alexander Hoyle, Pranav Goel, Philip Resnik

* Accepted to EMNLP 2020 

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Assigning Medical Codes at the Encounter Level by Paying Attention to Documents


Nov 15, 2019
Han-Chin Shing, Guoli Wang, Philip Resnik

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Assessing Composition in Sentence Vector Representations


Sep 11, 2018
Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik

* In Proceedings of the 27th International Conference on Computational Linguistics (pp. 1790-1801) 
* COLING 2018 

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Parser for Abstract Meaning Representation using Learning to Search


Oct 26, 2015
Sudha Rao, Yogarshi Vyas, Hal Daume III, Philip Resnik


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Two Algorithms for Finding $k$ Shortest Paths of a Weighted Pushdown Automaton


Feb 05, 2013
Ke Wu, Philip Resnik


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Tagger Evaluation Given Hierarchical Tag Sets


Aug 10, 2000
I. Dan Melamed, Philip Resnik

* Computers and the Humanities 34(1-2). Special issue on SENSEVAL. pp. 79-84 
* preprint is 7 pages, laid out differently than printed version 

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