Mark Dredze

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Confidence-weighted linear classification

Koby Crammer, Fernando Pereira, Mark Dredze, 2008, ICML '08.

Adaptive regularization of weight vectors

Koby Crammer, Alex Kulesza, Mark Dredze, 2009, Machine Learning.

Exact Convex Confidence-Weighted Learning

Koby Crammer, Fernando Pereira, Mark Dredze, 2008, NIPS.

Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification

John Blitzer, Fernando Pereira, Mark Dredze, 2007, ACL.

Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate

David A. Broniatowski, Amelia M. Jamison, Mark Dredze, 2018, American journal of public health.

Small Statistical Models by Random Feature Mixing

Mark Dredze, Kuzman Ganchev, Mark Dredze, 2008, ACL 2008.

Quantifying Mental Health Signals in Twitter

Mark Dredze, Glen Coppersmith, Craig Harman, 2014, CLPsych@ACL.

Online Methods for Multi-Domain Learning and Adaptation

Koby Crammer, Mark Dredze, K. Crammer, 2008, EMNLP.

Carmen: A Twitter Geolocation System with Applications to Public Health

Michael J. Paul, Mark Dredze, S. Bergsma, 2013 .

Improving Lexical Embeddings with Semantic Knowledge

Mark Dredze, Mo Yu, Mark Dredze, 2014, ACL.

Examining Patterns of Influenza Vaccination in Social Media

Mark Dredze, Michael J. Paul, Xiaolei Huang, 2017, AAAI Workshops.

Understanding Vaccine Refusal: Why We Need Social Media Now.

Mark Dredze, David A. Broniatowski, David A Broniatowski, 2016, American journal of preventive medicine.

Discovering Health Topics in Social Media Using Topic Models

Michael J. Paul, Mark Dredze, 2014, PloS one.

Twitter Improves Influenza Forecasting

Michael J. Paul, David A. Broniatowski, Mark Dredze, 2014, PLoS currents.

Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study

Michael J. Paul, David A. Broniatowski, Mark Dredze, 2015, JMIR public health and surveillance.

Zika vaccine misconceptions: A social media analysis.

David A. Broniatowski, Mark Dredze, Karen Hilyard, 2016, Vaccine.

Creating Speech and Language Data With Amazon’s Mechanical Turk

Chris Callison-Burch, Mark Dredze, Chris Callison-Burch, 2010, Mturk@HLT-NAACL.

Social Media Analytics for Smart Health

Arun Ross, Mark Dredze, Michael J. Paul, 2014, IEEE Intelligent Systems.

Worldwide Influenza Surveillance through Twitter

Mark Dredze, Michael J. Paul, David A. Broniatowski, 2015, AAAI Workshop: WWW and Public Health Intelligence.

National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

Michael J. Paul, David A. Broniatowski, Mark Dredze, 2013, PloS one.

Twitter: big data opportunities.

Michael J. Paul, David A. Broniatowski, Mark Dredze, 2014, Science.

Multi-Class Confidence Weighted Algorithms

Koby Crammer, Alex Kulesza, Mark Dredze, 2009, EMNLP.

Frustratingly Hard Domain Adaptation for Dependency Parsing

John Blitzer, Mark Dredze, João Graça, 2007, EMNLP.

Confidence-Weighted Linear Classification for Text Categorization

Koby Crammer, Fernando Pereira, Mark Dredze, 2012, J. Mach. Learn. Res..

Approximation-Aware Dependency Parsing by Belief Propagation

Mark Dredze, Jason Eisner, Matthew R. Gormley, 2015, TACL.

How Twitter is Changing the Nature of Financial News Discovery

Mark Dredze, Miles Osborne, Prabhanjan Kambadur, 2016, DSMM@SIGMOD.

Internet Searches for Suicide Following the Release of 13 Reasons Why

Mark Dredze, J. Ayers, B. Althouse, 2017, JAMA internal medicine.

The Charlie Sheen Effect on Rapid In-home Human Immunodeficiency Virus Test Sales

Mark Dredze, J. Ayers, B. Althouse, 2017, Prevention Science.

Why do people use electronic nicotine delivery systems (electronic cigarettes)? A content analysis of Twitter, 2012-2015

Mark Dredze, Adrian Benton, J. Ayers, 2017, PloS one.

Pokémon GO-A New Distraction for Drivers and Pedestrians.

Mark Dredze, J. Ayers, Jon-Patrick Allem, 2016, JAMA internal medicine.

Big Data Sensors of Organic Advocacy: The Case of Leonardo DiCaprio and Climate Change

Mark Dredze, J. Fowler, J. Ayers, 2016, PloS one.

Revisiting the Rise of Electronic Nicotine Delivery Systems Using Search Query Surveillance.

Mark Dredze, J. Ayers, B. Althouse, 2016, American journal of preventive medicine.

Effective vaccine communication during the disneyland measles outbreak.

Mark Dredze, David A. Broniatowski, David A Broniatowski, 2016, Vaccine.

Don’t quote me: reverse identification of research participants in social media studies

Mark Dredze, J. Ayers, Theodore L. Caputi, 2018, npj Digital Medicine.

Population health concerns during the United States' Great Recession.

Mark Dredze, J. Ayers, B. Althouse, 2014, American journal of preventive medicine.

Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study

Mark Dredze, J. Ayers, Theodore L. Caputi, 2020, JMIR public health and surveillance.

Geolocation System with Applications to Public Health

Michael J. Paul, Mark Dredze, S. Bergsma, 2013 .

Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis

David A. Broniatowski, Amelia M. Jamison, Mark Dredze, 2018, Journal of medical Internet research.

DETERMINISTIC CONSTRUCTION OF SYNCHRONIZATION STRING OVER SMALL ALPHABET

M. Dinitz, Philipp Koehn, Mark Dredze, 2017 .

Social Media as a Sensor of Air Quality and Public Response in China

Michael J. Paul, Mark Dredze, Shiliang Wang, 2015, Journal of medical Internet research.

Feature Design for Transfer Learning

Koby Crammer, Mark Dredze, K. Crammer, 2006 .

Learning Fast Classifiers for Image Spam

Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach, 2007, CEAS.

What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter

Mark Dredze, Matthew DeCamp, Mark Dredze, 2014, Journal of medical Internet research.

What's the healthiest day?: Circaseptan (weekly) rhythms in healthy considerations.

Mark Dredze, Mark Dredze, J. Ayers, 2014, American journal of preventive medicine.

Self-reported Cannabidiol (CBD) Use for Conditions With Proven Therapies

Mark Dredze, J. Ayers, E. Leas, 2020, JAMA network open.

Requests for Diagnoses of Sexually Transmitted Diseases on a Social Media Platform.

Mark Dredze, Christopher A Longhurst, Mark Dredze, 2019, JAMA.

Facebook Pages, the "Disneyland" Measles Outbreak, and Promotion of Vaccine Refusal as a Civil Right, 2009-2019.

David A. Broniatowski, Mark Dredze, A. Jamison, 2020, American journal of public health.

Vaccine opponents' use of Twitter during the 2016 US presidential election: Implications for practice and policy.

Mark Dredze, David A. Broniatowski, Sandra Crouse Quinn, 2017, Vaccine.

Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge

Paola Velardi, Mark Dredze, Alessandro Vespignani, 2016, BMC Infectious Diseases.

Google searches accurately forecast RSV hospitalizations

Mark Dredze, J. Ayers, B. Althouse, 2019, bioRxiv.

Overview of the special session on semantics and sociolinguistics in social media

Sanda M. Harabagiu, Mark Dredze, Dragomir R. Radev, 2012 .

Faster ( and Better ) Entity Linking with Cascades

Adam R. Teichert, Benjamin Van Durme, Mark Dredze, 2014 .

Ethical Research Protocols for Social Media Health Research

Mark Dredze, Glen Coppersmith, Adrian Benton, 2017, EthNLP@EACL.

Collective Supervision of Topic Models for Predicting Surveys with Social Media

Mark Dredze, Michael J. Paul, Adrian Benton, 2016, AAAI.

Gab : The Alt-Right Social Media Platform

David A. Broniatowski, William D. Adler, Mark Dredze, 2018 .

Breast Cancer Screening and Social Media: a Content Analysis of Evidence Use and Guideline Opinions on Twitter

Mark Dredze, Anthony Nastasi, Neeraja Nagarajan, 2017, Journal of Cancer Education.

Assessing the Validity of Online Drug Forums as a Source for Estimating Demographic and Temporal Trends in Drug Use

Mark Dredze, Michael J. Paul, Matthew W. Johnson, 2016, Journal of addiction medicine.

Updated Headline Generation: Creating Updated Summaries for Evolving News Stories

Mark Dredze, Adrian Benton, Sheena Panthaplackel, 2022, ACL.

Proceedings of ACL 2017, Student Research Workshop

Mark Dredze, Cecilia Ovesdotter Alm, Marine Carpuat, 2017, ACL 2017.

They’re heating up: Internet search query trends reveal significant public interest in heat-not-burn tobacco products

Mark Dredze, John W. Ayers, Mark Dredze, 2017, PloS one.

News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation

Mark Dredze, J. Ayers, E. Leas, 2020, Tobacco Control.

Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018

Mark Dredze, J. Ayers, Jon-Patrick Allem, 2018, PloS one.

Machine learning:Trends, perspectives, and prospects

Mark Dredze, Michael J. Paul, David A. Broniatowski, 2015 .

Zero-shot Cross-lingual Transfer is Under-specified Optimization

Benjamin Van Durme, Mark Dredze, Benjamin van Durme, 2022, REPL4NLP.

What Makes Data-to-Text Generation Hard for Pretrained Language Models?

Mark Dredze, Adrian Benton, Moniba Keymanesh, 2022, GEM.

Do Explicit Alignments Robustly Improve Multilingual Encoders?

Mark Dredze, Shijie Wu, 2020, EMNLP.

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

Michael J. Paul, E. Nsoesie, Mark Dredze, 2015, PLoS Comput. Biol..

Classifying Individuals versus Organizations on Twitter

Mark Dredze, Zach Wood-Doughty, Praateek Mahajan, 2018 .

Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses: Observational Study

Michael J. Paul, Mark Dredze, M. Chisolm, 2018, JMIR mental health.

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations

Mark Dredze, David A. Broniatowski, Sandra Crouse Quinn, 2020 .

Malpractice and Malcontent: Analyzing Medical Complaints in Twitter

Mark Dredze, Michael J. Paul, Atul Nakhasi, 2012, AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text.

Connectome Classification using statistical graph theory and machine learning

Jerry L. Prince, Mark Dredze, Carey E. Priebe, 2015 .

#MeToo and Google Inquiries Into Sexual Violence: A Hashtag Campaign Can Sustain Information Seeking

Mark Dredze, Ciprian Crainiceanu, Debangan Dey, 2019, Journal of interpersonal violence.

Can a selfie promote public engagement with skin cancer?

Mark Dredze, J. Ayers, B. Althouse, 2017, Preventive Medicine.

On the State of Social Media Data for Mental Health Research pdf

Mark Dredze, Keith Harrigian, Carlos Aguirre, 2020, CLPSYCH.

Cross-lingual Coreference Resolution : A New Task for Multilingual Comparable Corpora

Mark Dredze, Christopher D. Manning, Spence Green, 2011 .

News and Internet Searches About Human Immunodeficiency Virus After Charlie Sheen's Disclosure.

Mark Dredze, Seth M Noar, Mark Dredze, 2016, JAMA internal medicine.

“Repeal and replace”: increased demand for intrauterine devices following the 2016 presidential election

Mark Dredze, J. Ayers, A. Nobles, 2019, Contraception.

Twitter as a Source for Learning about Patient Safety Events

Mark Dredze, Michael J. Paul, Atul Nakhasi, 2012, AMIA.

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction pdf

Mark Dredze, Benjamin Van Durme, Craig Harman, 2021, EMNLP.

A Generative Model of String Variation

Mark Dredze, Jason Eisner, Nicholas Andrews, 2012 .

Generating Synthetic Text Data to Evaluate Causal Inference Methods pdf

Mark Dredze, Ilya Shpitser, Zach Wood-Doughty, 2021, ArXiv.

Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013–2017

Mark Dredze, Michael J. Paul, David A. Broniatowski, 2019, BMJ Open.

Information retrieval and knowledge discovery in biomedical text : papers from the AAAI Fall Symposium

Mark Dredze, Rezarta Islamaj Dogan, Lana Yeganova, 2012 .

Youth violence: What we know and what we need to know.

Mark Dredze, Michael R. Gottfredson, Katherine Newman, 2016, The American psychologist.

Learning to Admit You ’ re Wrong : Statistical Tools for Evaluating Web QA

Mark Dredze, 2007 .

Do Text-to-Text Multi-Task Learners Suffer from Task Conflict?

Mark Dredze, Nicholas Andrews, David Mueller, 2022, EMNLP.

Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

Mark Dredze, Hadi Kharrazi, Joe Kimura, 2018, JMIR medical informatics.

Intelligent Email: Aiding Users with AI

John Blitzer, Fernando Pereira, Mark Dredze, 2008, AAAI.

Sequence Learning from Data with Multiple Labels

Koby Crammer, Mark Dredze, Partha Pratim Talukdar, 2009 .

Internet Searches for Acute Anxiety During the Early Stages of the COVID-19 Pandemic.

Mark Dredze, J. Ayers, B. Althouse, 2020, JAMA internal medicine.

Could behavioral medicine lead the web data revolution?

Mark Dredze, Benjamin M. Althouse, John W. Ayers, 2014, JAMA.

Graphical Models for Primarily Unsupervised Sequence Labeling

Mark Dredze, Neal Parikh, Mark Dredze, 2007 .

Name Phylogeny: A Generative Model of String Variation

Mark Dredze, Jason Eisner, Nicholas Andrews, 2012, EMNLP.

Learning Composition Models for Phrase Embeddings

Mark Dredze, Mo Yu, Mark Dredze, 2015, TACL.

Sub-Lexical and Contextual Modeling of Out-of-Vocabulary Words in Speech Recognition

Mark Dredze, Ariya Rastrow, Abhinav Sethy, 2013 .

Learning sub-word units and exploiting contextual information for open vocabulary speech recognition

Hynek Hermansky, Mark Dredze, Maria Carolina Parada, 2011 .

OOV Sensitive Named-Entity Recognition in Speech

Mark Dredze, Frederick Jelinek, Carolina Parada, 2011, INTERSPEECH.

Exploring Health Topics in Chinese Social Media: An Analysis of Sina Weibo

Mark Dredze, Michael J. Paul, Shiliang Wang, 2014, AAAI 2014.

Learning Polylingual Topic Models from Code-Switched Social Media Documents

Nanyun Peng, Yiming Wang, Mark Dredze, 2014, ACL.

Can Big Media Data Revolutionarize Gun Violence Prevention? pdf

Mark Dredze, Benjamin M. Althouse, John W. Ayers, 2016, ArXiv.

A Study of Imitation Learning Methods for Semantic Role Labeling

Mark Dredze, Benjamin Van Durme, Travis Wolfe, 2016, SPNLP@EMNLP.

David A. Broniatowski, Amelia M. Jamison, Mark Dredze, 2019, Vaccine.

Generating summary keywords for emails using topics

Fernando Pereira, Mark Dredze, Hanna M. Wallach, 2008, IUI '08.

Vaccine Images on Twitter: Analysis of What Images are Shared

Mark Dredze, Tao Chen, Mark Dredze, 2018, Journal of medical Internet research.

How Social Media Will Change Public Health

Mark Dredze, Mark Dredze, 2012, IEEE Intelligent Systems.

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media

Mark Dredze, Munmun De Choudhury, Glen Coppersmith, 2016, CHI.

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Mark Dredze, Shijie Wu, Mark Dredze, 2019, EMNLP.

Lightly-Supervised Attribute Extraction

Fernando Pereira, Mark Dredze, Andrew McCallum, 2007 .

Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides

Mark Dredze, Munmun De Choudhury, Glen Coppersmith, 2015, HT.

Mental Health Surveillance over Social Media with Digital Cohorts

Mark Dredze, Silvio Amir, John W. Ayers, 2019, Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology.

Online Sales of Marijuana: An Unrecognized Public Health Dilemma.

Mark Dredze, J. Ayers, E. Leas, 2018, American journal of preventive medicine.

Are All Languages Created Equal in Multilingual BERT?

Mark Dredze, Shijie Wu, Mark Dredze, 2020, REPL4NLP.

Social Monitoring for Public Health

Mark Dredze, Michael J. Paul, Michael J. Paul, 2017, Synthesis Lectures on Information Concepts, Retrieval, and Services.

You Are What You Tweet: Analyzing Twitter for Public Health

Mark Dredze, Michael J. Paul, Mark Dredze, 2011, ICWSM.

Internet Searches for Unproven COVID-19 Therapies in the United States.

Mark Dredze, A. Kesselheim, J. Ayers, 2020, JAMA internal medicine.

Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter.

David A. Broniatowski, Amelia M. Jamison, Mark Dredze, 2020, American journal of public health.

Measuring Post Traumatic Stress Disorder in Twitter

Mark Dredze, Glen Coppersmith, Craig Harman, 2014, ICWSM.

Using Noisy Self-Reports to Predict Twitter User Demographics pdf

Mark Dredze, Paiheng Xu, Xiao Liu, 2020, SOCIALNLP.

Chinese social media suggest decreased vaccine acceptance in China: An observational study on Weibo following the 2018 Changchun Changsheng vaccine incident.

David A. Broniatowski, Mark Dredze, Dian Hu, 2020, Vaccine.

Trends in Internet Searches for Cannabidiol (CBD) in the United States

Mark Dredze, J. Ayers, E. Leas, 2019, JAMA network open.

Improved Relation Extraction with Feature-Rich Compositional Embedding Models pdf

Mark Dredze, Mo Yu, Matthew R. Gormley, 2015, EMNLP.

The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

Mark Dredze, David A. Broniatowski, Paiheng Xu, 2020, Journal of medical Internet research.

The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets pdf

Mark Dredze, David A. Broniatowski, Paiheng Xu, 2020, ArXiv.

BloombergGPT: A Large Language Model for Finance

P. Kambadur, Mark Dredze, Sebastian Gehrmann, 2023, ArXiv.

Beyond broadcast

Mark Dredze, Lawrence Birnbaum, Kristian J. Hammond, 2003, IUI '03.

Entity Linking: Finding Extracted Entities in a Knowledge Base

Mark Dredze, Paul McNamee, Delip Rao, 2013, Multi-source, Multilingual Information Extraction and Summarization.

Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings

Nanyun Peng, Mark Dredze, Mark Dredze, 2015, EMNLP.

Learning unsupervised contextual representations for medical synonym discovery

Mark Dredze, Elliot Schumacher, Mark Dredze, 2019, JAMIA open.

Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning

Nanyun Peng, Mark Dredze, Mark Dredze, 2016, ACL.

Shared Components Topic Models with Application to Selectional Preference

Mark Dredze, Benjamin Van Durme, Jason Eisner, 2011 .

A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews

Mark Dredze, Michael J. Paul, Byron C. Wallace, 2014, J. Am. Medical Informatics Assoc..

Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter

David Yarowsky, Mark Dredze, Benjamin Van Durme, 2013, NAACL.

Separating Fact from Fear: Tracking Flu Infections on Twitter

Mark Dredze, Michael J. Paul, Alex Lamb, 2013, NAACL.

Quantifying Public Interest in Police Reforms by Mining Internet Search Data Following George Floyd’s Death

Mark Dredze, J. Ayers, B. Althouse, 2020, Journal of medical Internet research.

Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning pdf

Mark Dredze, Ran Zhao, Amanda Stent, 2018, FLAIRS.

Multi-domain learning by confidence-weighted parameter combination

Koby Crammer, Alex Kulesza, Mark Dredze, 2010, Machine Learning.

We’re Not in Kansas Anymore: Detecting Domain Changes in Streams

Tim Oates, Mark Dredze, Christine D. Piatko, 2010, EMNLP.

From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses

Mark Dredze, Glen Coppersmith, Craig Harman, 2015, CLPsych@HLT-NAACL.

Table of Contents Finding the Right Supervisor: Expert-finding in a University Domain Domain-specific Semantic Relatedness from Wikipedia: Can a Course Be Transferred? Using Ontology-based Approaches to Representing Speech Transcripts for Automated Speech Scoring Conference Program Finding the Right

Joel R. Tetreault, Martha Palmer, Mark Dredze, 2022 .

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation

Mark Dredze, Jay DeYoung, Nicholas Andrews, 2016, SocialNLP@EMNLP.

Deep Dirichlet Multinomial Regression

Mark Dredze, Adrian Benton, Mark Dredze, 2018, NAACL.

Topic Models and Metadata for Visualizing Text Corpora

Mark Dredze, Rebecca Knowles, Matthew R. Gormley, 2013, NAACL.

Reply Expectation Prediction for Email Management

John Blitzer, Fernando Pereira, Mark Dredze, 2005, CEAS.

Entity Disambiguation for Knowledge Base Population

Mark Dredze, Timothy W. Finin, Paul McNamee, 2010, COLING.

HLTCOE Approaches to Knowledge Base Population at TAC 2009

David Yarowsky, Mark Dredze, Timothy W. Finin, 2009, TAC.

Shared Task : Depression and PTSD on Twitter

Mark Dredze, Glen Coppersmith, Craig Harman, 2015 .

Multi-task Domain Adaptation for Sequence Tagging

Nanyun Peng, Mark Dredze, Mark Dredze, 2016, Rep4NLP@ACL.

Challenges of Using Text Classifiers for Causal Inference

Mark Dredze, Ilya Shpitser, Zach Wood-Doughty, 2018, EMNLP.

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies

Mark Dredze, Mohit Bansal, Ozan Irsoy, 2023, ACL.

On the State of Social Media Data for Mental Health Research pdf

Mark Dredze, Keith Harrigian, Carlos Aguirre, 2020, CLPSYCH.

Facebook, Twitter and Google Plus for Breaking News: Is There a Winner?

Mark Dredze, Miles Osborne, M. Osborne, 2014, ICWSM.

Annotating Named Entities in Twitter Data with Crowdsourcing

Mark Dredze, Timothy W. Finin, Justin Martineau, 2010, Mturk@HLT-NAACL.

Elites and foreign actors among the alt-right: The Gab social media platform

Mark Dredze, David A. Broniatowski, David A. Broniatowski, 2019, First Monday.

Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak

Mark Dredze, Michael J. Paul, Matthew W. Johnson, 2016, AAAI Workshop: WWW and Population Health Intelligence.

Pocket Knowledge Base Population

Mark Dredze, Benjamin Van Durme, Travis Wolfe, 2017, ACL.

A spoken term detection framework for recovering out-of-vocabulary words using the web

Mark Dredze, Frederick Jelinek, Abhinav Sethy, 2010, INTERSPEECH.

Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models

Mark Dredze, Michael J. Paul, Mark Dredze, 2013, NAACL.

Experimenting with Drugs (and Topic Models): Multi-Dimensional Exploration of Recreational Drug Discussions

Mark Dredze, Michael J. Paul, Mark Dredze, 2012, AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text.

Automatic Code Assignment to Medical Text

Koby Crammer, Mark Dredze, Partha Pratim Talukdar, 2007, BioNLP@ACL.

Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information pdf

Mark Dredze, Jacob Eisenstein, Amanda Stent, 2021, ArXiv.

How Does Twitter User Behavior Vary Across Demographic Groups?

Mark Dredze, David A. Broniatowski, Michael Smith, 2017, NLP+CSS@ACL.

Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models

Mark Dredze, Masoud Rouhizadeh, Elliot Schumacher, 2019, ArXiv.

Predicting Twitter User Demographics from Names Alone

Mark Dredze, Nicholas Andrews, Rebecca Marvin, 2018, PEOPLES@NAACL-HTL.

Contextual Information Improves OOV Detection in Speech

Mark Dredze, Frederick Jelinek, Denis Filimonov, 2010, NAACL.

Sources of Transfer in Multilingual Named Entity Recognition pdf

Mark Dredze, Nicholas Andrews, David Mueller, 2020, ACL.

A Model for Mining

Mark Dredze, Michael J. Paul, Mark Dredze, 2011 .

Learning Simple Wikipedia: A Cogitation in Ascertaining Abecedarian Language

Mark Dredze, Courtney Napoles, Mark Dredze, 2010, HLT-NAACL 2010.

Predicate Argument Alignment using a Global Coherence Model

Mark Dredze, Benjamin Van Durme, Travis Wolfe, 2015, NAACL.

Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement

Mark Dredze, Alexandra DeLucia, Gwenyth Portillo Wightman, 2023, TRUSTNLP.

Do Explicit Alignments Robustly Improve Massively Multilingual Encoders?

Mark Dredze, Shijie Wu, Mark Dredze, 2020, EMNLP.

Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis

Fernando Pereira, Mark Dredze, Kevin Lerman, 2008, COLING.

Reading the Markets : Forecasting Prediction Markets By News Content Analysis

Fernando C Pereira, Mark Dredze, Kevin Lerman, 2007 .

Do Models of Mental Health Based on Social Media Data Generalize?

Mark Dredze, Keith Harrigian, Carlos Aguirre, 2020, FINDINGS.

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

Mark Dredze, Adrian Benton, Mark Dredze, 2016, JMIR public health and surveillance.

On the Surprising Effectiveness of Name Matching Alone in Autoregressive Entity Linking

Mark Dredze, J. Mayfield, Elliot Schumacher, 2023, MATCHING.

Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy

Mark Dredze, David A. Broniatowski, Michael C. Smith, 2017, SMM4H@AMIA.

Multi-task Multi-domain Representation Learning for Sequence Tagging pdf

Nanyun Peng, Mark Dredze, Mark Dredze, 2016, ArXiv.

A Concrete Chinese NLP Pipeline

Francis Ferraro, Nanyun Peng, Mark Dredze, 2015, NAACL.

Using Author Embeddings to Improve Tweet Stance Classification

Mark Dredze, Adrian Benton, Mark Dredze, 2018, NUT@EMNLP.

Geolocation for Twitter: Timing Matters

Mark Dredze, Miles Osborne, Prabhanjan Kambadur, 2016, NAACL.

Collective Supervision of Topic Models for Predicting Surveys with Social Media

Michael J. Paul, Mark Dredze, Adrian Benton, 2016, AAAI Conference on Artificial Intelligence.

Sprite: Generalizing Topic Models with Structured Priors

Mark Dredze, Michael J. Paul, Mark Dredze, 2015, TACL.

Human Language Technologies : The 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics Demonstration Session

Matthew R. Gormley, Mark Dredze, Mark Stevenson, 2013 .

After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter pdf

Mark Dredze, Glen Coppersmith, Adrian Benton, 2016, ArXiv.

Intelligent email: reply and attachment prediction

John Blitzer, Fernando Pereira, Mark Dredze, 2008, IUI '08.

Activity-Centric Email: A Machine Learning Approach

Mark Dredze, Tessa A. Lau, Nicholas Kushmerick, 2006, AAAI.

Enriching Unsupervised User Embedding via Medical Concepts

Mark Dredze, Franck Dernoncourt, Xiaolei Huang, 2022, CHIL.

User Factor Adaptation for User Embedding via Multitask Learning pdf

Franck Dernoncourt, Mark Dredze, Michael J. Paul, 2021, ADAPTNLP.

Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records

Mark Dredze, Hadi Kharrazi, Tao Chen, 2019, J. Am. Medical Informatics Assoc..

Learning Multiview Embeddings of Twitter Users

Mark Dredze, Raman Arora, Adrian Benton, 2016, ACL.

Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online

Nicholas Jing Yuan, Noah A. Smith, William Yang Wang, 2022 .

Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order pdf

Mark Dredze, Ann Irvine, Mark Dredze, 2017, ArXiv.

Multi-Domain Learning: When Do Domains Matter?

William W. Cohen, Mark Dredze, C. Rosé, 2012, EMNLP.

Clinical Concept Linking with Contextualized Neural Representations

Mark Dredze, Andriy Mulyar, Elliot Schumacher, 2020, ACL.

Discriminative Candidate Generation for Medical Concept Linking

Mark Dredze, Elliot Schumacher, Mark Dredze, 2019, AKBC.

High Risk Pregnancy Prediction from Clinical Text

Mark Dredze, Hadi Kharrazi, J. Weiner, 2016 .

Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data

Mark Dredze, Masoud Rouhizadeh, A. Nobles, 2020, ArXiv.

Youth violence: What we know and what we need to know.

Michael R. Gottfredson, Sandra L. Calvert, B. Bushman, 2016, The American psychologist.

A Multi-instance Learning Approach to Civil Unrest Event Detection on Twitter

Mark Dredze, A. Buczak, Alexandra DeLucia, 2023, CASE.

Social Monitoring for Public Health

Michael J. Paul, Mark Dredze, 2017, Synthesis Lectures on Information Concepts, Retrieval, and Services.

Twitter as a Source of Global Mobility Patterns for Social Good pdf

Mark Dredze, Alex Rutherford, Manuel García-Herranz, 2016, ArXiv.

Streaming Cross Document Entity Coreference Resolution

Mark Dredze, Paul McNamee, Delip Rao, 2010, COLING.

Constructing an Alias List for Named Entities during an Event

Chris Callison-Burch, Mark Dredze, Mugizi Rwebangira, 2017, NUT@EMNLP.

Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk

Chris Callison-Burch, Mark Dredze, 2010 .

Entity Clustering Across Languages

Mark Dredze, Christopher D. Manning, Spence Green, 2012, NAACL.

Changes in Tweet Geolocation over Time: A Study with Carmen 2.0

Mark Dredze, Jingyu Zhang, Alexandra DeLucia, 2022, WNUT.

Robust Entity Clustering via Phylogenetic Inference

Mark Dredze, Jason Eisner, Nicholas Andrews, 2014, ACL.

Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning

Mark Dredze, Nanyun Peng, 2016, Annual Meeting of the Association for Computational Linguistics.

Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning

Nanyun Peng, Mark Dredze, Mark Dredze, 2016, 1603.00786.

Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings

Douglas W. Oard, Mark Dredze, Ning Gao, 2018, HICSS.

Automatically classifying emails into activities

Mark Dredze, Tessa A. Lau, Nicholas Kushmerick, 2006, IUI '06.

Feature Generation for Robust Semantic Role Labeling pdf

Mark Dredze, Benjamin Van Durme, Travis Wolfe, 2017, ArXiv.

Interactive Knowledge Base Population pdf

Mark Dredze, Timothy W. Finin, Benjamin Van Durme, 2015, ArXiv.

Estimating document frequencies in a speech corpus

Aren Jansen, Mark Dredze, Sanjeev Khudanpur, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

PARMA: A Predicate Argument Aligner

Chris Callison-Burch, Jonathan Weese, Mark Dredze, 2013, ACL.