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Tyler Baldwin
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2020 – today
- 2024
- [c26]Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan:
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD 2024: 28:1-28:10 - [c25]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) 2024: 491-502 - [i4]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR abs/2406.15476 (2024) - 2022
- [c24]Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério Abreu de Paula, Subhro Das:
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. AIES 2022: 285-294 - [c23]Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das:
Better Skill-based Job Representations, Assessed via Job Transition Data. IEEE Big Data 2022: 2182-2185 - [c22]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. CIKM 2022: 1124-1134 - [c21]Pedro L. Esquinas, Yen-Fu Luo, Parisa Farzam, Tyler Baldwin, Moshe Raboh, Thomas Binder, Arkadiusz Sitek, Omid Sakhi, Yi-Qing Wang, Sameer Suman, Giovanni Palma, Paul Dufort, Ben Graf:
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. ISBI 2022: 1-5 - [c20]Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin:
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation. NAACL-HLT 2022: 3457-3463 - [i3]Maysa M. Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério de Paula, Subhro Das:
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. CoRR abs/2205.09508 (2022) - [i2]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. CoRR abs/2208.09625 (2022) - 2021
- [c19]William P. Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu:
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. AKBC 2021 - [c18]Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. AMIA 2021 - [c17]William P. Hogan, Yoshiki Vazquez-Baeza, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Chun-Nan Hsu:
BLAR: Biomedical Local Acronym Resolver. BioNLP@NAACL-HLT 2021: 126-130 - [i1]William P. Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu:
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. CoRR abs/2110.12501 (2021)
2010 – 2019
- 2018
- [c16]Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Generalized Extraction and Classification of Span-Level Clinical Phrases. AMIA 2018 - [c15]Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. AMIA 2018 - 2017
- [c14]Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood:
Efficient Clinical Concept Extraction in Electronic Medical Records. AAAI 2017: 5089-5090 - 2016
- [c13]Tyler Baldwin, Yufan Guo, Tanveer F. Syeda-Mahmood:
Automatic Generation of Conditional Diagnostic Guidelines. AMIA 2016 - [c12]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 2016: 97850A - 2015
- [c11]Tyler Baldwin, Yunyao Li:
An In-depth Analysis of the Effect of Text Normalization in Social Media. HLT-NAACL 2015: 420-429 - 2013
- [c10]Tyler Baldwin, Yunyao Li, Bogdan Alexe, Ioana Roxana Stanoi:
Automatic Term Ambiguity Detection. ACL (2) 2013: 804-809 - [c9]Congle Zhang, Tyler Baldwin, Howard Ho, Benny Kimelfeld, Yunyao Li:
Adaptive Parser-Centric Text Normalization. ACL (1) 2013: 1159-1168 - 2012
- [c8]Tyler Baldwin, Joyce Yue Chai:
Towards online adaptation and personalization of key-target resizing for mobile devices. IUI 2012: 11-20 - [c7]Tyler Baldwin, Joyce Yue Chai:
Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues. HLT-NAACL 2012: 710-719 - 2011
- [c6]Tyler Baldwin, Joyce Y. Chai:
Beyond Normalization: Pragmatics of Word Form in Text Messages. IJCNLP 2011: 1437-1441 - 2010
- [c5]Tyler Baldwin, Joyce Yue Chai, Katrin Kirchhoff:
Hand Gestures in Disambiguating Types of You Expressions in Multiparty Meetings. SIGDIAL Conference 2010: 306-313
2000 – 2009
- 2009
- [c4]Tyler Baldwin, Joyce Y. Chai, Katrin Kirchhoff:
Communicative gestures in coreference identification in multiparty meetings. ICMI 2009: 211-218 - 2007
- [c3]Chen Zhang, Matthew Gerber, Tyler Baldwin, Steve Emelander, Joyce Yue Chai, Rong Jin:
Michigan State University at the 2007 TREC ciQA Task. TREC 2007 - 2006
- [c2]Joyce Y. Chai, Chen Zhang, Tyler Baldwin:
Towards Conversational QA: Automatic Identification of Problematic Situations and User Intent. ACL 2006 - [c1]Joyce Y. Chai, Tyler Baldwin, Chen Zhang:
Automated performance assessment in interactive QA. SIGIR 2006: 631-632
Coauthor Index
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last updated on 2024-11-28 21:24 CET by the dblp team
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