Anthony Rios

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 44

Top Topics

Text Classification

Question Answering

Top Venues

J. Am. Medical Informatics Assoc.

Artif. Intell. Medicine

Publications

Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant Vishwamitra, Anthony Rios
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. CoRR (2024)
Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios
Extracting Biomedical Entities from Noisy Audio Transcripts. LREC/COLING (2024)
Dorde Klisura, Anthony Rios
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems. CoRR (2024)
Daniel Schumacher, Anthony Rios
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. CoRR (2024)
Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium (2024)
Xingmeng Zhao, Tongnian Wang, Anthony Rios
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. CoRR (2024)
Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios
Extracting Biomedical Entities from Noisy Audio Transcripts. CoRR (2024)
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, Glenn Dietrich, Anthony Rios
Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats. CoRR (2024)
Xingmeng Zhao, Ali Niazi, Anthony Rios
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. NAACL-HLT (2024)
Xingmeng Zhao, Anthony Rios
A marker-based neural network system for extracting social determinants of health. J. Am. Medical Informatics Assoc. 30 (8) (2023)
Xingmeng Zhao, Tongnian Wang, Sheri Osborn, Anthony Rios
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? CoRR (2023)
Xingmeng Zhao, Xavier Walton, Suhana Shrestha, Anthony Rios
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. CoRR (2023)
Tongnian Wang, Xingmeng Zhao, Anthony Rios
UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. BioNLP@ACL (2023)
Richard Tarbell, Kim-Kwang Raymond Choo, Glenn Dietrich, Anthony Rios
Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. CoRR (2023)
Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios
Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. CoRR (2022)
Sonam Singh, Anthony Rios
Linguistic Elements of Engaging Customer Service Discourse on Social Media. CoRR (2022)
Xingmeng Zhao, Ali Niazi, Anthony Rios
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. CoRR (2022)
Brandon Lwowski, Paul Rad, Anthony Rios
Measuring Geographic Performance Disparities of Offensive Language Classifiers. COLING (2022)
Nima Ebadi, Anthony Rios, Peyman Najafirad
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING (2022)
Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios
Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. ICWSM (2022)
Brandon Lwowski, Paul Rad, Anthony Rios
Measuring Geographic Performance Disparities of Offensive Language Classifiers. CoRR (2022)
Xingmeng Zhao, Anthony Rios
A Marker-based Neural Network System for Extracting Social Determinants of Health. CoRR (2022)
Xingmeng Zhao, Anthony Rios
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. SemEval@NAACL (2022)
Xingmeng Zhao, Anthony Rios
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. CoRR (2022)
Brandon Lwowski, Anthony Rios
The risk of racial bias while tracking influenza-related content on social media using machine learning. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Mir Mehedi A. Pritom, Rosana Montanez Rodriguez, Asad Ali Khan, Sebastian A. Nugroho, Esra'a Alrashydah, Beatrice N. Ruiz, Anthony Rios
Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media. CoRR (2021)
Paras Bhatt, Anthony Rios
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. CoRR (2021)
Paras Bhatt, Anthony Rios
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. ACL/IJCNLP (Findings) (2021)
Anthony Rios, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru
Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. BCB (2021)
Anthony Rios, Brandon Lwowski
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings. COLING (2020)
Anthony Rios, Reenam Joshi, Hejin Shin
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings. BioNLP (2020)
Anthony Rios
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. AAAI (2020)
Anthony Rios, Ramakanth Kavuluru
Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine 96 (2019)
Anthony Rios, Eric B. Durbin, Isaac Hands, Susanne M. Arnold, Darshil Shah, Stephen M. Schwartz, Bernardo H. L. Goulart, Ramakanth Kavuluru
Cross-registry neural domain adaptation to extract mutational test results from pathology reports. J. Biomed. Informatics 97 (2019)
Rachael Ruizhu Xiong, Charles Zhechao Liu, Kim-Kwang Raymond Choo, Anthony Rios
Complex contagions of information diffusion across social networking platforms. AMCIS (2019)
Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. 34 (17) (2018)
Anthony Rios, Ramakanth Kavuluru
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP (2018)
Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR (2018)
Anthony Rios, Ramakanth Kavuluru
EMR Coding with Semi-Parametric Multi-Head Matching Networks. NAACL-HLT (2018)
Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018 (2018)
Anthony Rios, Tung Tran, Ramakanth Kavuluru
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). CLPsych@NAACL-HTL (2018)
Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
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. J. Am. Medical Informatics Assoc. 25 (10) (2018)
Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. SMM4H@AMIA (2017)
Ramakanth Kavuluru, Anthony Rios, Tung Tran
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI (2017)
Ramakanth Kavuluru, Anthony Rios, Yuan Lu
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif. Intell. Medicine 65 (2) (2015)
Ramakanth Kavuluru, Anthony Rios
Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. AMIA (2015)
Anthony Rios, Ramakanth Kavuluru
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB (2015)
Anthony Rios, Ramakanth Kavuluru
Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. ICHI (2015)
Ramakanth Kavuluru, Anthony Rios, Brandon Kulengowski, Patrick McNamara
A Knowledge-Based Collaborative Clinical Case Mining Framework. AMIA (2014)
Anthony Rios, Robin Vanderpool, Pam Shaw, Ramakanth Kavuluru
A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. FLAIRS Conference (2013)
Anthony Rios, Ramakanth Kavuluru
Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. ICHI (2013)