Mark Dredze

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 117

Top Venues

Publications

Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme
A Closer Look at Claim Decomposition. *SEM@NAACL (2024)
Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme
A Closer Look at Claim Decomposition. CoRR (2024)
David Mueller, Mark Dredze, Nicholas Andrews
Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) (2024)
Sharon Levy, Tahilin Sanchez Karver, William D. Adler, Michelle R. Kaufman, Mark Dredze
Evaluating Biases in Context-Dependent Health Questions. CoRR (2024)
Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. CoRR (2024)
Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze
Characterization of Stigmatizing Language in Medical Records. ACL (2) (2023)
Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa
Use large language models to promote equity. CoRR (2023)
Carlos Aguirre, Mark Dredze
Generalizing Fairness using Multi-Task Learning without Demographic Information. CoRR (2023)
Keith Harrigian, Tina Tang, Anthony Gonzales, Cindy X. Cai, Mark Dredze
An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping. CoRR (2023)
Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) (2023)
Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models. CoRR (2023)
Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. CoRR (2023)
Elizabeth Spaulding, Gary Kazantsev, Mark Dredze
Joint End-to-end Semantic Proto-role Labeling. ACL (2) (2023)
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann
BloombergGPT: A Large Language Model for Finance. CoRR (2023)
Jingyu Zhang, Alexandra DeLucia, Chenyu Zhang, Mark Dredze
Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning. ACL (Findings) (2023)
Carlos Aguirre, Mark Dredze, Philip Resnik
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics. CoRR (2022)
Anna L. Buczak, Benjamin D. Baugher, Christine S. Martin, Meg W. Keiley-Listermann, James Howard, Nathan H. Parrish, Anton Q. Stalick, Daniel S. Berman, Mark Dredze
Crystal Cube: Forecasting Disruptive Events. Appl. Artif. Intell. 36 (1) (2022)
Shijie Wu, Benjamin Van Durme, Mark Dredze
Zero-shot Cross-lingual Transfer is Under-specified Optimization. CoRR (2022)
David Mueller, Nicholas Andrews, Mark Dredze
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) (2022)
Keith Harrigian, Mark Dredze
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic. CoRR (2022)
Xiaolei Huang, Franck Dernoncourt, Mark Dredze
Enriching Unsupervised User Embedding via Medical Concepts. CHIL (2022)
Sheena Panthaplackel, Adrian Benton, Mark Dredze
Updated Headline Generation: Creating Updated Summaries for Evolving News Stories. ACL (1) (2022)
Keith Harrigian, Mark Dredze
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic. WebSci (2022)
Shijie Wu, Benjamin Van Durme, Mark Dredze
Zero-shot Cross-lingual Transfer is Under-specified Optimization. RepL4NLP@ACL (2022)
Moniba Keymanesh, Adrian Benton, Mark Dredze
What Makes Data-to-Text Generation Hard for Pretrained Language Models? CoRR (2022)
Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, Mark Dredze
Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP (2022)
Jingyu Zhang, Alexandra DeLucia, Mark Dredze
Changes in Tweet Geolocation over Time: A Study with Carmen 2.0. W-NUT@COLING (2022)
Keith Harrigian, Mark Dredze
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses. CoRR (2022)
Xiaolei Huang, Franck Dernoncourt, Mark Dredze
Enriching Unsupervised User Embedding via Medical Concepts. CoRR (2022)
David Mueller, Nicholas Andrews, Mark Dredze
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR (2022)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Model Distillation for Faithful Explanations of Medical Code Predictions. BioNLP@ACL (2022)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Proxy Model Explanations for Time Series RNNs. ICMLA (2021)
Carlos Aguirre, Keith Harrigian, Mark Dredze
Gender and Racial Fairness in Depression Research using Social Media. CoRR (2021)
Elliot Schumacher, James Mayfield, Mark Dredze
Improving Zero-Shot Multi-Lingual Entity Linking. CoRR (2021)
Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia, Mark Dredze, Anna L. Buczak
Study of Manifestation of Civil Unrest on Twitter. W-NUT (2021)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Faithful and Plausible Explanations of Medical Code Predictions. CoRR (2021)
Aaron Mueller, Mark Dredze
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. NAACL-HLT (2021)
Aaron Mueller, Mark Dredze
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. CoRR (2021)
Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR (2021)
Carlos Aguirre, Keith Harrigian, Mark Dredze
Gender and Racial Fairness in Depression Research using Social Media. EACL (2021)
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
Using Noisy Self-Reports to Predict Twitter User Demographics. SocialNLP@NAACL (2021)
Elliot Schumacher, James Mayfield, Mark Dredze
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. ACL/IJCNLP (Findings) (2021)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR (2021)
Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze
User Factor Adaptation for User Embedding via Multitask Learning. CoRR (2021)
Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. CoRR (2021)
Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) (2021)
Paiheng Xu, Mark Dredze, David A. Broniatowski
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets. CoRR (2020)
Keith Harrigian, Carlos Aguirre, Mark Dredze
Do Models of Mental Health Based on Social Media Data Generalize? EMNLP (Findings) (2020)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. CoRR (2020)
Elliot Schumacher, Andriy Mulyar, Mark Dredze
Clinical Concept Linking with Contextualized Neural Representations. ACL (2020)
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
Using Noisy Self-Reports to Predict Twitter User Demographics. CoRR (2020)
Shijie Wu, Mark Dredze
Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP (1) (2020)
Shijie Wu, Mark Dredze
Are All Languages Created Equal in Multilingual BERT? RepL4NLP@ACL (2020)
Justin Sech, Alexandra DeLucia, Anna L. Buczak, Mark Dredze
Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. W-NUT@EMNLP (2020)
Elliot Schumacher, James Mayfield, Mark Dredze
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. CoRR (2020)
Keith Harrigian, Carlos Aguirre, Mark Dredze
On the State of Social Media Data for Mental Health Research. CoRR (2020)
Manya Wadhwa, Silvio Amir, Mark Dredze
Aligning Public Feedback to Requests for Comments on Regulations.gov. ICWSM (2020)
Rachel Dorn, Alicia L. Nobles, Masoud Rouhizadeh, Mark Dredze
Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data. CoRR (2020)
Alicia L. Nobles, Eric C. Leas, Mark Dredze, John W. Ayers
Examining Peer-to-Peer and Patient-Provider Interactions on a Social Media Community Facilitating Ask the Doctor Services. ICWSM (2020)
Shijie Wu, Mark Dredze
Are All Languages Created Equal in Multilingual BERT? CoRR (2020)
David A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn
The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda. CoRR (2020)
Alicia L. Nobles, Eric C. Leas, Mark Dredze, Christopher A. Longhurst, Davey Smith, John W. Ayers
Crowd-Diagnosis: When the Public Turns to Social Media to Obtain Clinical Diagnoses. AMIA (2020)
David Mueller, Nicholas Andrews, Mark Dredze
Sources of Transfer in Multilingual Named Entity Recognition. ACL (2020)
Shijie Wu, Mark Dredze
Do Explicit Alignments Robustly Improve Multilingual Encoders? CoRR (2020)
David Mueller, Nicholas Andrews, Mark Dredze
Sources of Transfer in Multilingual Named Entity Recognition. CoRR (2020)
Yuchen Zhou, Mark Dredze, David A. Broniatowski, William D. Adler
Elites and foreign actors among the alt-right: The Gab social media platform. First Monday 24 (9) (2019)
Shijie Wu, Mark Dredze
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. CoRR (2019)
Shijie Wu, Mark Dredze
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. EMNLP/IJCNLP (1) (2019)
Tao Chen, Mark Dredze, Jonathan P. Weiner, Hadi Kharrazi
Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Conference (2019)
Elliot Schumacher, Mark Dredze
Discriminative Candidate Generation for Medical Concept Linking. AKBC (2019)
Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models. CoRR (2019)
Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP (2018)
Travis Wolfe, Annabelle Carrell, Mark Dredze, Benjamin Van Durme
Summarizing Entities using Distantly Supervised Information Extractors. ProfS/KG4IR/Data:Search@SIGIR (2018)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Challenges of Using Text Classifiers for Causal Inference. EMNLP (2018)
Adrian Benton, Mark Dredze
Using Author Embeddings to Improve Tweet Stance Classification. NUT@EMNLP (2018)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Challenges of Using Text Classifiers for Causal Inference. CoRR (2018)
John W. Ayers, Theodore L. Caputi, Camille Nebeker, Mark Dredze
Don't quote me: reverse identification of research participants in social media studies. npj Digit. Medicine 1 (2018)
Adrian Benton, Mark Dredze
Deep Dirichlet Multinomial Regression. NAACL-HLT (2018)
Ning Gao, Mark Dredze, Douglas W. Oard
Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings. HICSS (2018)
Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL (2018)
Zach Wood-Doughty, Praateek Mahajan, Mark Dredze
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter. PEOPLES@NAACL-HTL (2018)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR (2018)
Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) (2017)
Ning Gao, Mark Dredze, Douglas W. Oard
Person entity linking in email with NIL detection. J. Assoc. Inf. Sci. Technol. 68 (10) (2017)
Travis Wolfe, Mark Dredze, Benjamin Van Durme
Pocket Knowledge Base Population. ACL (2) (2017)
Michael C. Smith, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski
Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy. SMM4H@AMIA (2017)
Xiaolei Huang, Michael C. Smith, Michael J. Paul, Dmytro Ryzhkov, Sandra Crouse Quinn, David A. Broniatowski, Mark Dredze
Examining Patterns of Influenza Vaccination in Social Media. AAAI Workshops (2017)
Travis Wolfe, Mark Dredze, Benjamin Van Durme
Feature Generation for Robust Semantic Role Labeling. CoRR (2017)
Anietie Andy, Mark Dredze, Mugizi Rwebangira, Chris Callison-Burch
Constructing an Alias List for Named Entities during an Event. NUT@EMNLP (2017)
Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) (2017)
Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze
How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS@ACL (2017)
Nanyun Peng, Mark Dredze
Multi-task Domain Adaptation for Sequence Tagging. Rep4NLP@ACL (2017)
Ning Gao, Douglas W. Oard, Mark Dredze
Support for Interactive Identification of Mentioned Entities in Conversational Speech. SIGIR (2017)
Ning Gao, Gregory Sell, Douglas W. Oard, Mark Dredze
Leveraging side information for speaker identification with the Enron conversational telephone speech collection. ASRU (2017)
Adrian Benton, Glen Coppersmith, Mark Dredze
Ethical Research Protocols for Social Media Health Research. EthNLP@EACL (2017)
Ann Irvine, Mark Dredze
Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order. CoRR (2017)
John W. Ayers, Benjamin M. Althouse, Eric C. Leas, Ted Alcorn, Mark Dredze
Can Big Media Data Revolutionarize Gun Violence Prevention? CoRR (2016)
Mark Dredze, Manuel García-Herranz, Alex Rutherford, Gideon Mann
Twitter as a Source of Global Mobility Patterns for Social Good. CoRR (2016)

Mark Dredze.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mark Dredze