A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. - Anthony Rios; Robin Vanderpool; Pam Shaw; Ramakanth Kavuluru (FLAIRS, 2013)

Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. - Anthony Rios; Ramakanth Kavuluru (ICHI, 2013)

A Knowledge-Based Collaborative Clinical Case Mining Framework. - Ramakanth Kavuluru; Anthony Rios; Brandon Kulengowski; Patrick McNamara (AMIA, 2014)

Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. - Ramakanth Kavuluru; Anthony Rios (AMIA, 2015)

Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. - Anthony Rios; Ramakanth Kavuluru (BCB, 2015)

Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. - Anthony Rios; Ramakanth Kavuluru (ICHI, 2015)

An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. - Ramakanth Kavuluru; Anthony Rios; Yuan Lu (Artif. Intell. Medicine, 2015)

Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. - Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru (SMM4H@AMIA, 2017)

Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. - Ramakanth Kavuluru; Anthony Rios; Tung Tran 001 (ICHI, 2017)

Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). - Anthony Rios; Tung Tran 001; Ramakanth Kavuluru (CLPsych@NAACL-HTL, 2018)

Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. - Anthony Rios; Ramakanth Kavuluru (EMNLP, 2018)

EMR Coding with Semi-Parametric Multi-Head Matching Networks. - Anthony Rios; Ramakanth Kavuluru (NAACL-HLT, 2018)

Extracting chemical-protein relations with ensembles of SVM and deep learning models. - Yifan Peng 002; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (Database J. Biol. Databases Curation, 2018)

Generalizing biomedical relation classification with neural adversarial domain adaptation. - Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (Bioinform., 2018)

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. - Yifan Peng 002; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (CoRR, 2018)

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. - Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; et al. (J. Am. Medical Informatics Assoc., 2018)

Complex contagions of information diffusion across social networking platforms. - Rachael Ruizhu Xiong; Charles Zhechao Liu; Kim-Kwang Raymond Choo; Anthony Rios (AMCIS, 2019)

Neural transfer learning for assigning diagnosis codes to EMRs. - Anthony Rios; Ramakanth Kavuluru (Artif. Intell. Medicine, 2019)

Cross-registry neural domain adaptation to extract mutational test results from pathology reports. - Anthony Rios; Eric B. Durbin; Isaac Hands; Susanne M. Arnold; Darshil Shah; Stephen M. Schwartz; Bernardo H. L. Goulart; Ramakanth Kavuluru (J. Biomed. Informatics, 2019)

FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. - Anthony Rios (AAAI, 2020)

Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings. - Anthony Rios; Reenam Joshi; Hejin Shin (BioNLP, 2020)

An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings. - Anthony Rios; Brandon Lwowski (COLING, 2020)

Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. - Paras Bhatt; Anthony Rios (ACL/IJCNLP (Findings), 2021)

Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. - Anthony Rios; Eric B. Durbin; Isaac Hands; Ramakanth Kavuluru (BCB, 2021)

Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media. - Mir Mehedi A. Pritom; Rosana Montanez Rodriguez; Asad Ali Khan; Sebastian A. Nugroho; Esra'a Alrashydah; Beatrice N. Ruiz; Anthony Rios (CoRR, 2021)

The risk of racial bias while tracking influenza-related content on social media using machine learning. - Brandon Lwowski; Anthony Rios (J. Am. Medical Informatics Assoc., 2021)

Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. - Nima Ebadi; Anthony Rios; Peyman Najafirad (SDP@COLING, 2022)

Measuring Geographic Performance Disparities of Offensive Language Classifiers. - Brandon Lwowski; Paul Rad; Anthony Rios (COLING, 2022)

Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. - Richard Alvarez; Paras Bhatt; Xingmeng Zhao; Anthony Rios (ICWSM, 2022)

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. - Xingmeng Zhao; Anthony Rios (SemEval@NAACL, 2022)

Linguistic Elements of Engaging Customer Service Discourse on Social Media. - Sonam Singh; Anthony Rios (CoRR, 2022)

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. - Tongnian Wang; Xingmeng Zhao; Anthony Rios (BioNLP@ACL, 2023)

Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. - Xingmeng Zhao; Xavier Walton; Suhana Shrestha; Anthony Rios (CoRR, 2023)

Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. - Richard Tarbell; Kim-Kwang Raymond Choo; Glenn Dietrich; Anthony Rios (CoRR, 2023)

BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? - Xingmeng Zhao; Tongnian Wang; Sheri Osborn; Anthony Rios (CoRR, 2023)

A marker-based neural network system for extracting social determinants of health. - Xingmeng Zhao; Anthony Rios (J. Am. Medical Informatics Assoc., 2023)

UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction. - Xingmeng Zhao; Anthony Rios (ClinicalNLP@NAACL, 2024)

Extracting Biomedical Entities from Noisy Audio Transcripts. - Nima Ebadi; Kellen Morgan; Adrian Tan; Billy Linares; Sheri Osborn; Emma Majors; Jeremy Davis; Anthony Rios (LREC/COLING, 2024)

A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. - Xingmeng Zhao; Ali Niazi; Anthony Rios (NAACL-HLT, 2024)

A Dataset for the Prediction of Spanish Language Fluency by Quantification of Linguistic Components with Artificial Intelligence. - Brock P. Wilson; Anthony Rios; Amanda S. Fernandez; Michael Rushforth; Samuel Ang; John Quarles; Mario A Flores (NLPIR, 2024)

Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. - Daniel Schumacher; Anthony Rios (SemEval@NAACL, 2024)

Translating Natural Language Specifications into Access Control Policies by Leveraging Large Language Models. - Sherifdeen Lawal; Xingmeng Zhao; Anthony Rios; Ram Krishnan; David F. Ferraiolo (TPS-ISA, 2024)

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. - Mazal Bethany; Brandon Wherry; Emet Bethany; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (USENIX Security Symposium, 2024)

Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. - Xingmeng Zhao; Tongnian Wang; Anthony Rios (CoRR, 2024)

Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats. - Ryan Pavlich; Nima Ebadi; Richard Tarbell; Billy Linares; Adrian Tan; Rachael Humphreys; Jayanta Kumar Das; Rambod Ghandiparsi; Hannah Haley; Jerris George; Rocky Slavin; Kim-Kwang Raymond Choo; et al. (CoRR, 2024)

Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. - Daniel Schumacher; Fatemeh Haji; Tara Grey; Niharika Bandlamudi; Nupoor Karnik; Gagana Uday Kumar; Jason Cho-Yu Chiang; Paul Rad; Nishant Vishwamitra; Anthony Rios (CoRR, 2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. - Mazal Bethany; Emet Bethany; Brandon Wherry; Jason Cho-Yu Chiang; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (CoRR, 2024)

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent. - Fatemeh Haji; Mazal Bethany; Maryam Tabar; Jason Cho-Yu Chiang; Anthony Rios; Peyman Najafirad (CoRR, 2024)

A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. - Dorde Klisura; Astrid R. Bernaga Torres; Anna Karen Gárate-Escamilla; Rajesh Roshan Biswal; Ke Yang; Hilal Pataci; Anthony Rios (ACL (1), 2025)

Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations. - James Ford; Xingmeng Zhao; Daniel Schumacher; Anthony Rios (COLING, 2025)

Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. - Xingmeng Zhao; Daniel Schumacher; Sashank Nalluri; Suhana Shrestha; Xavier Walton; Anthony Rios (ICWSM, 2025)

Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems. - Dorde Klisura; Anthony Rios (NAACL (Findings), 2025)

UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting. - Sara Shields-Menard; Zach Reimers; Joshua Gardner 005; David Perry; Anthony Rios (CoRR, 2025)

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach. - James Ford; Anthony Rios (CoRR, 2025)