Resolving citations in a paper repository. - Sunita Sarawagi; V. G. Vinod Vydiswaran; Sumana Srinivasan; Kapil Bhudhia (SIGKDD Explor., 2003)

Learning to extract information from large domain-specific websites using sequential models. - Sunita Sarawagi; V. G. Vinod Vydiswaran (SIGKDD Explor., 2004)

Learning to extract information from large websites using sequential models. - V. G. Vinod Vydiswaran; Sunita Sarawagi (COMAD, 2005)

Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot. - Hyun Duk Kim; Dae Hoon Park; V. G. Vinod Vydiswaran; ChengXiang Zhai (TAC, 2008)

A Framework for Entailed Relation Recognition. - Dan Roth 001; Mark Sammons; V. G. Vinod Vydiswaran (ACL/IJCNLP (2), 2009)

Relation Alignment for Textual Entailment Recognition. - Mark Sammons; V. G. Vinod Vydiswaran; Tim Vieira; Nikhil Johri; Ming-Wei Chang; Dan Goldwasser; Vivek Srikumar; Gourab Kundu; Yuancheng Tu; Kevin Small; Joshua S. Rule; Quang Do; et al. (TAC, 2009)

A Study of Term Proximity and Document Weighting Normalization in Pseudo Relevance Feedback–UIUC at TREC 2009 Million Query Track. - Yuanhua Lv; Jing He 010; V. G. Vinod Vydiswaran; Kavita Ganesan; ChengXiang Zhai (TREC, 2009)

Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track. - V. G. Vinod Vydiswaran; Kavita Ganesan; Yuanhua Lv; Jing He 010; ChengXiang Zhai (TREC, 2009)

"Ask Not What Textual Entailment Can Do for You...". - Mark Sammons; V. G. Vinod Vydiswaran; Dan Roth 001 (ACL, 2010)

Textual Entailment. - Mark Sammons; Idan Szpektor; V. G. Vinod Vydiswaran (NAACL (Tutorial Abstracts), 2010)

News Sync: Enabling scenario-based news exploration. - V. G. Vinod Vydiswaran; Jeroen van den Eijkhof; Raman Chandrasekar; Ann Paradiso; Jim St. George (ASIST, 2011)

Content-driven trust propagation framework. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001 (KDD, 2011)

Unbiased learning of controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (ASIST, 2012)

BiasTrust: teaching biased users about controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (CIKM, 2012)

Reliability Prediction of Webpages in the Medical Domain. - Parikshit Sondhi; V. G. Vinod Vydiswaran; ChengXiang Zhai (ECIR, 2012)

Mining Consumer Health Vocabulary from Community-Generated Text. - V. G. Vinod Vydiswaran; Qiaozhu Mei; David A. Hanauer; Kai Zheng 002 (AMIA, 2014)

User-Created Groups in Health Forums: What Makes Them Special? - V. G. Vinod Vydiswaran; Yang Liu 019; Kai Zheng 002; David A. Hanauer; Qiaozhu Mei (ICWSM, 2014)

Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. - Tera L. Reynolds; V. G. Vinod Vydiswaran; Yuting Wu; Qiaozhu Mei; David A. Hanauer; Kai Zheng 002 (AMIA, 2015)

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. - Fengmin Hu; Danny T. Y. Wu; Qiaozhu Mei; V. G. Vinod Vydiswaran (TREC, 2015)

Overcoming bias to learn about controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (J. Assoc. Inf. Sci. Technol., 2015)

Ease of adoption of clinical natural language processing software: An evaluation of five systems. - Kai Zheng 002; V. G. Vinod Vydiswaran; Yang Liu 019; Yue Wang 035; Amber Stubbs; Özlem Uzuner; Anupama E. Gururaj; Samuel Bayer; John S. Aberdeen; Anna Rumshisky; Serguei Pakhomov; Hongfang Liu; et al. (J. Biomed. Informatics, 2015)

Analyzing Multiple Medical Corpora Using Word Embedding. - Jian Huang; Keyang Xu; V. G. Vinod Vydiswaran (ICHI, 2016)

The DARPA Twitter Bot Challenge. - V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer; Rand Waltzman; Andrew Stevens; et al. (CoRR, 2016)

Assessing the readability of ClinicalTrials.gov. - Danny T. Y. Wu; David A. Hanauer; Qiaozhu Mei; Patricia M. Clark; Lawrence C. An; Joshua Proulx; Qing T. Zeng; V. G. Vinod Vydiswaran; Kevyn Collins-Thompson; Kai Zheng 002 (J. Am. Medical Informatics Assoc., 2016)

Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. - Yue Wang 035; Jian Tang 005; V. G. Vinod Vydiswaran; Kai Zheng 002; Hua Xu 001; Qiaozhu Mei (AMIA, 2017)

HyDeXT: A Hybrid De-identification and Extraction Tool for Health Text. - Xinyan Zhao; V. G. Vinod Vydiswaran (AMIA, 2017)

Creating a Labeled Dataset for Medical Misinformation in Health Forums. - Alexander Kinsora; Kate Barron; Qiaozhu Mei; V. G. Vinod Vydiswaran (ICHI, 2017)

Identifying Usage Expression Sentences in Consumer Product Reviews. - Shibamouli Lahiri; V. G. Vinod Vydiswaran; Rada Mihalcea (IJCNLP(1), 2017)

Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track. - Tong Yin; Danny T. Y. Wu; V. G. Vinod Vydiswaran (TREC, 2017)

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine. - David A. Hanauer; Danny T. Y. Wu; Lei Yang; Qiaozhu Mei; Katherine B. Murkowski-Steffy; V. G. Vinod Vydiswaran; Kai Zheng 002 (J. Biomed. Informatics, 2017)

Feasibility of Identifying Oral Anticancer Agent Toxicity Self-Reporting and Management Advice from Clinical Notes. - Yun Jiang; V. G. Vinod Vydiswaran; Eun-Young Lee; Hyeon Joo; Anna Zheng; Marcelline R. Harris (AMIA, 2018)

Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. - Andy Jinseok Lee; Sunyang Fu; V. G. Vinod Vydiswaran (AMIA, 2018)

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (ICHI Workshops, 2018)

Towards Identifying Peer Expertise in Online Health Forums. - Manoj Reddy; V. G. Vinod Vydiswaran (ICHI Workshops, 2018)

"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit. - V. G. Vinod Vydiswaran; Daniel M. Romero; Xinyan Zhao; Deahan Yu; Iris N. Gomez-Lopez; Jin Xiu Lu; Bradley E. Iott; Ana Baylin; Philippa Clarke; Veronica J. Berrocal; Robert Goodspeed; Tiffany C. Veinot (ICWSM, 2018)

Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track. - Jinghui Liu; Clair A. Kronk; Wu-Chen Su; Danny T. Y. Wu; V. G. Vinod Vydiswaran (TREC, 2018)

User acceptance of location-tracking technologies in health research: Implications for study design and data quality. - Jean Hardy; Tiffany C. Veinot; Xiang Yan; Veronica J. Berrocal; Philippa Clarke; Robert Goodspeed; Iris N. Gomez-Lopez; Daniel M. Romero; V. G. Vinod Vydiswaran (J. Biomed. Informatics, 2018)

Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1. - V. G. Vinod Vydiswaran; Grace Ganzel; Bryan Romas; Deahan Yu; Amy Austin; Neha Bhomia; Socheatha Chan; Stephanie Hall; Van Le; Aaron Miller; Olawunmi Oduyebo; Aulia Song; et al. (SMM4H@ACL, 2019)

Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation. - Xinyan Zhao; Deahan Yu; V. G. Vinod Vydiswaran (SMM4H@ACL, 2019)

Hybrid bag of approaches to characterize selection criteria for cohort identification. - V. G. Vinod Vydiswaran; Asher Strayhorn; Xinyan Zhao; Phil Robinson; Mahesh Agarwal; Erin Bagazinski; Madia Essiet; Bradley E. Iott; Hyeon Joo; PingJui Ko; Dahee Lee; Jin Xiu Lu; et al. (J. Am. Medical Informatics Assoc., 2019)

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (BMC Medical Informatics Decis. Mak., 2019)

Identifying peer experts in online health forums. - V. G. Vinod Vydiswaran; Manoj Reddy (BMC Medical Informatics Decis. Mak., 2019)

Special issue of BMC medical informatics and decision making on health natural language processing. - V. G. Vinod Vydiswaran; Yaoyun Zhang; Yanshan Wang; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2019)

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. - Jiazhao Li; Corey A. Lester; Xinyan Zhao; Yuting Ding; Yun Jiang; V. G. Vinod Vydiswaran (EMNLP (Findings), 2020)

Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models. - Jiazhao Li; Adharsh Murali; Qiaozhu Mei; V. G. Vinod Vydiswaran (ICHI, 2020)

Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020. - V. G. Vinod Vydiswaran; Deahan Yu; Xinyan Zhao; Ermioni Carr; Jonathan Martindale; Jingcheng Xiao; Noha Ghannam; Matteo Althoen; Alexis Castellanos; Neel Patel; Daniel Vasquez (SMM4H@COLING, 2020)

LIREx: Augmenting Language Inference with Relevant Explanation. - Xinyan Zhao; V. G. Vinod Vydiswaran (CoRR, 2020)

Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics. - V. G. Vinod Vydiswaran; Daniel M. Romero; Xinyan Zhao; Deahan Yu; Iris N. Gomez-Lopez; Jin Xiu Lu; Bradley E. Iott; Ana Baylin; Erica C. Jansen; Philippa Clarke; Veronica J. Berrocal; Robert Goodspeed; et al. (J. Am. Medical Informatics Assoc., 2020)

LIREx: Augmenting Language Inference with Relevant Explanations. - Xinyan Zhao; V. G. Vinod Vydiswaran (AAAI, 2021)

Data Science and Natural Language Processing to Extract Information from Clinical Narratives. - V. G. Vinod Vydiswaran; Xinyan Zhao; Deahan Yu (COMAD/CODS, 2021)

Validating Complex Phenotypes: A Structured Approach for Dementia. - David A. Dorr; Nicole Gray Weiskopf; Michelle Bobo; MJ Dunne; Peijan Han; Jessica Kim; V. G. Vinod Vydiswaran (AMIA, 2022)

Data Science and Natural Language Processing to Extract Information in Clinical Domain. - V. G. Vinod Vydiswaran; Xinyan Zhao; Deahan Yu (COMAD/CODS, 2022)

IDPG: An Instance-Dependent Prompt Generation Method. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Rui Hou; Yuxiao Dong; V. G. Vinod Vydiswaran; Hao Ma 001 (NAACL-HLT, 2022)

Defending against Insertion-based Textual Backdoor Attacks via Attribution. - Jiazhao Li; Zhuofeng Wu 001; Wei Ping; Chaowei Xiao; V. G. Vinod Vydiswaran (ACL (Findings), 2023)

LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles. - Quancheng Liu; Xiheng Ren; V. G. Vinod Vydiswaran (BioNLP@ACL, 2023)

StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification. - Chi-Yun Chang; Jiaqi Li; Shivangi Kumar; V. G. Vinod Vydiswaran (CLEF (Working Notes), 2023)

HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. - Zhuofeng Wu 001; Chaowei Xiao; V. G. Vinod Vydiswaran (EMNLP (Findings), 2023)

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. - Davy Weissenbacher; Karen O'Connor; Siddharth Rawal; Yu Zhang 202; Richard Tzong-Han Tsai; Timothy Miller 002; Dongfang Xu; Carol Anderson; Bo Liu; Qing Han; Jinfeng Zhang; Igor Kulev; et al. (Database J. Biol. Databases Curation, 2023)

Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research. - Anne M. Walling; Joshua M. Pevnick; Antonia V. Bennett; V. G. Vinod Vydiswaran; Christine S. Ritchie (J. Am. Medical Informatics Assoc., 2023)

Divide-or-Conquer? Which Part Should You Distill Your LLM? - Zhuofeng Wu 001; Richard He Bai; Aonan Zhang; Jiatao Gu; V. G. Vinod Vydiswaran; Navdeep Jaitly; Yizhe Zhang 002 (EMNLP (Findings), 2024)

ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. - Jiazhao Li; Yijin Yang; Zhuofeng Wu 001; V. G. Vinod Vydiswaran; Chaowei Xiao (NAACL-HLT, 2024)