Mark Dredze

发表

Learning Polylingual Topic Models from Code-Switched Social Media Documents

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

Quantifying Mental Health Signals in Twitter

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

Estimating document frequencies in a speech corpus

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

Sequence Learning from Data with Multiple Labels

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

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.

Leveraging side information for speaker identification with the Enron conversational telephone speech collection

Douglas W. Oard, Mark Dredze, Ning Gao, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Creating Speech and Language Data With Amazon’s Mechanical Turk

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

Using Author Embeddings to Improve Tweet Stance Classification

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

Examining Patterns of Influenza Vaccination in Social Media

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

Knowledge Base Population for Organization Mentions in Email

Douglas W. Oard, Mark Dredze, Ning Gao, 2016, AKBC@NAACL-HLT.

A Generative Model of String Variation

Mark Dredze, Jason Eisner, Nicholas Andrews, 2012 .

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

Mark Dredze, Ariya Rastrow, Abhinav Sethy, 2013 .

Ethical Research Protocols for Social Media Health Research

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

Intelligent Email: Aiding Users with AI

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

Activity-Centric Email: A Machine Learning Approach

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

Hill climbing on speech lattices: A new rescoring framework

Bhuvana Ramabhadran, Mark Dredze, Ariya Rastrow, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Name Phylogeny: A Generative Model of String Variation

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

Separating Fact from Fear: Tracking Flu Infections on Twitter

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

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

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

You Are What You Tweet: Analyzing Twitter for Public Health

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

Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings

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

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

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

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

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

Predicate Argument Alignment using a Global Coherence Model

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

How Does Twitter User Behavior Vary Across Demographic Groups?

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

Do Explicit Alignments Robustly Improve Massively Multilingual Encoders?

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

Demographer: Extremely Simple Name Demographics

Mark Dredze, Rebecca Knowles, Josh Carroll, 2016, NLP+CSS@EMNLP.

Sprite: Generalizing Topic Models with Structured Priors

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

PARMA: A Predicate Argument Aligner

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

Intelligent email: reply and attachment prediction

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

Low-Resource Semantic Role Labeling

Mark Dredze, Benjamin Van Durme, Margaret Mitchell, 2014, ACL.

Interactive Knowledge Base Population pdf

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

NLP on Spoken Documents Without ASR

Aren Jansen, Mark Dredze, Glen Coppersmith, 2010, EMNLP.

Summarizing Entities using Distantly Supervised Information Extractors

Mark Dredze, Benjamin Van Durme, Travis Wolfe, 2018, ProfS/KG4IR/Data:Search@SIGIR.

Feature Generation for Robust Semantic Role Labeling pdf

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

Learning Simple Wikipedia: A Cogitation in Ascertaining Abecedarian Language

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

Improving Lexical Embeddings with Semantic Knowledge

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

Learning Fast Classifiers for Image Spam

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

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

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

An Empirical Study of Chinese Name Matching and Applications

Nanyun Peng, Mark Dredze, Mo Yu, 2015, ACL.

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

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

Clinical Concept Linking with Contextualized Neural Representations

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

Confidence-Weighted Linear Classification for Text Categorization

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

Deep Dirichlet Multinomial Regression

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

The Hurricane Sandy Twitter Corpus

Haoyu Wang, Mark Dredze, Eduard H. Hovy, 2015, AAAI Workshop: WWW and Public Health Intelligence.

AAAI 2008 Workshop Reports

Vincent Conitzer, Guy Shani, Alfred Kobsa, 2009, AI Mag..

Online Methods for Multi-Domain Learning and Adaptation

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

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

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

What's in a Domain? Multi-Domain Learning for Multi-Attribute Data

Carolyn Penstein Rosé, Mark Dredze, William W. Cohen, 2013, HLT-NAACL.

CADET: Computer Assisted Discovery Extraction and Translation

Kevin Duh, Philipp Koehn, Mark Dredze, 2017, IJCNLP.

Social Monitoring for Public Health

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

Twitter as a Source for Learning about Patient Safety Events

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

Approximation-Aware Dependency Parsing by Belief Propagation

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

Contextual Information Improves OOV Detection in Speech

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

Social Media Analytics for Smart Health

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

User Models for Email Activity Management

Mark Dredze, Hanna Wallach, 2008 .

TREC 2005 Genomics Track Experiments at IBM Watson

Mark Dredze, Tong Zhang, Rie Kubota Ando, 2005, TREC.

Entity Disambiguation for Knowledge Base Population

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

Efficient discriminative training of long-span language models

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Confidence-weighted linear classification

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

Beyond broadcast

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

"Sorry, I Forgot the Attachment": Email Attachment Prediction

John Blitzer, Fernando Pereira, Mark Dredze, 2006, CEAS.

A Concrete Chinese NLP Pipeline

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

Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation pdf

Mark Dredze, Sanjeev Khudanpur, Damianos Karakos, 2013, ArXiv.

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

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

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

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

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

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

Challenges of Using Text Classifiers for Causal Inference

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

Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter

Mark Dredze, Zach Wood-Doughty, Praateek Mahajan, 2018, PEOPLES@NAACL-HTL.

How Twitter is Changing the Nature of Financial News Discovery

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

Can Big Media Data Revolutionarize Gun Violence Prevention? pdf

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

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

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

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.

Learning Multiview Embeddings of Twitter Users

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

Connectome Classification using statistical graph theory and machine learning

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

Worldwide Influenza Surveillance through Twitter

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

Discriminative Candidate Generation for Medical Concept Linking

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

Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings

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

Adaptive regularization of weight vectors

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

Revisiting the Case for Explicit Syntactic Information in Language Models

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, WLM@NAACL-HLT.

Lightly-Supervised Attribute Extraction

Fernando Pereira, Mark Dredze, Andrew McCallum, 2007 .

Active Learning with Confidence

Koby Crammer, Mark Dredze, 2008, ACL.

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.

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

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

Non-Expert Correction of Automatically Generated Relation Annotations

Mark Dredze, Adam Gerber, Matthew R. Gormley, 2010, Mturk@HLT-NAACL.

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

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

Learning Word Segmentation Representations to Improve Named Entity Recognition for Chinese Social Media pdf

Nanyun Peng, Mark Dredze, 2016, ArXiv.

Graphical Models for Primarily Unsupervised Sequence Labeling

Mark Dredze, Neal Parikh, Mark Dredze, 2007 .

Shared Components Topic Models

Mark Dredze, Benjamin Van Durme, Jason Eisner, 2012, HLT-NAACL.

What Affects Patient (Dis)satisfaction? Analyzing Online Doctor Ratings with a Joint Topic-Sentiment Model

Mark Dredze, Michael J. Paul, Byron C. Wallace, 2013, AAAI 2013.

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.

Beyond broadcast: a demo

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

Reply Expectation Prediction for Email Management

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

Person entity linking in email with NIL detection

Douglas W. Oard, Mark Dredze, Ning Gao, 2017, J. Assoc. Inf. Sci. Technol..

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

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

Automatically classifying emails into activities

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

Frustratingly Hard Domain Adaptation for Dependency Parsing

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

Robust Entity Clustering via Phylogenetic Inference

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

OOV Sensitive Named-Entity Recognition in Speech

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

Icelandic Data Driven Part of Speech Tagging

Mark Dredze, Joel Wallenberg, 2008, ACL.

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction

Mark Dredze, Mo Yu, Matthew R. Gormley, 2015, HLT-NAACL.

Name Variation in Community Question Answering Systems

Mark Dredze, Satoshi Sekine, Mugizi Rwebangira, 2016, NUT@COLING.

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..

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.

Sources of Transfer in Multilingual Named Entity Recognition pdf

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

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

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

Measuring Post Traumatic Stress Disorder in Twitter

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

Multi-task Domain Adaptation for Sequence Tagging

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

Exact Convex Confidence-Weighted Learning

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

Convolutions Are All You Need (For Classifying Character Sequences)

Mark Dredze, Nicholas Andrews, Zach Wood-Doughty, 2018, NUT@EMNLP.

Proceedings of ACL 2017, Student Research Workshop

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

Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, ACL.

Are All Languages Created Equal in Multilingual BERT?

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

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

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

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

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

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

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

Automatic Code Assignment to Medical Text

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

Exploiting Feature Covariance in High-Dimensional Online Learning

Koby Crammer, Fernando Pereira, Alex Kulesza, 2010, AISTATS.

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

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

Machine learning:Trends, perspectives, and prospects

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

Predicting Twitter User Demographics from Names Alone

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

Small Statistical Models by Random Feature Mixing

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

New ℌ∞ bounds for the recursive least squares algorithm exploiting input structure

Koby Crammer, Alex Kulesza, Mark Dredze, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Vaccine Images on Twitter: Analysis of What Images are Shared

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

Embedding Lexical Features via Low-Rank Tensors pdf

Mark Dredze, Mo Yu, Raman Arora, 2016, HLT-NAACL.

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

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

Collective Supervision of Topic Models for Predicting Surveys with Social Media

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

Further Results and Analysis of Icelandic Part of Speech Tagging

Mark Dredze, Joel C. Wallenberg, 2008 .

Efficient Structured Language Modeling for Speech Recognition

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, INTERSPEECH.

Generating summary keywords for emails using topics

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

Constructing an Alias List for Named Entities during an Event

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

Entity Linking: Finding Extracted Entities in a Knowledge Base

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

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.

Factorial LDA: Sparse Multi-Dimensional Text Models

Mark Dredze, Michael J. Paul, 2012, NIPS.

Streaming Cross Document Entity Coreference Resolution

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

CLPsych 2015 Shared Task: Depression and PTSD on Twitter

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

Adapting n-gram maximum entropy language models with conditional entropy regularization

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Annotating Named Entities in Twitter Data with Crowdsourcing

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

Using Noisy Self-Reports to Predict Twitter User Demographics pdf

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

Multi-Class Confidence Weighted Algorithms

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

HLTCOE Approaches to Knowledge Base Population at TAC 2009

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

FrameNet+: Fast Paraphrastic Tripling of FrameNet

Chris Callison-Burch, Mark Dredze, Benjamin Van Durme, 2015, ACL.

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

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

Learning unsupervised contextual representations for medical synonym discovery

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

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

Mark Dredze, Masoud Rouhizadeh, Rachel Dorn, 2020, ArXiv.

Support for Interactive Identification of Mentioned Entities in Conversational Speech

Douglas W. Oard, Mark Dredze, Ning Gao, 2017, SIGIR.

Improved Relation Extraction with Feature-Rich Compositional Embedding Models pdf

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

Bayesian Modeling of Lexical Resources for Low-Resource Settings

Mark Dredze, Benjamin Van Durme, Jason Eisner, 2017, ACL.

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

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

DRASO: Declaratively Regularized Alternating Structural Optimization

Fernando Pereira, Koby Crammer, John Blitzer, 2008 .

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

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

Entity Linking for Spoken Language

Mark Dredze, Adrian Benton, 2015, HLT-NAACL.

Managers' email: beyond tasks and to-dos

Mark Dredze, Jeffrey Stylos, Wendy A. Kellogg, 2005, CHI EA '05.

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

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

Deriving conversation-based features from unlabeled speech for discriminative language modeling

Brian Roark, Philipp Koehn, Adam Lopez, 2012, INTERSPEECH.

Geolocation for Twitter: Timing Matters

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

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

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

Investigating Twitter as a Source for Studying Behavioral Responses to Epidemics

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

Learning Composition Models for Phrase Embeddings

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

How Social Media Will Change Public Health

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

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

Mark Dredze, Andriy Mulyar, Masoud Rouhizadeh, 2019, ArXiv.

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

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

Pocket Knowledge Base Population

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

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..

HealthTweets.org: A Platform for Public Health Surveillance Using Twitter

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

Multi-Domain Learning: When Do Domains Matter?

Carolyn Penstein Rosé, Mark Dredze, William W. Cohen, 2012, EMNLP-CoNLL.

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

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

A Study of Imitation Learning Methods for Semantic Role Labeling

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

Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking pdf

Mark Dredze, James Mayfield, Elliot Schumacher, 2020, ArXiv.

Topic Models and Metadata for Visualizing Text Corpora

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

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

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

Multi-domain learning by confidence-weighted parameter combination

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

Learning Sub-Word Units for Open Vocabulary Speech Recognition

Mark Dredze, Ariya Rastrow, Abhinav Sethy, 2011, ACL.

Entity Clustering Across Languages

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

Could behavioral medicine lead the web data revolution?

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

Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking

Mark Dredze, James Mayfield, Elliot Schumacher, 2021, FINDINGS.

User Factor Adaptation for User Embedding via Multitask Learning pdf

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

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

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

Study of Manifestation of Civil Unrest on Twitter

Mark Dredze, Alexandra DeLucia, Abhinav Chinta, 2021, WNUT.

Generating Synthetic Text Data to Evaluate Causal Inference Methods pdf

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

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.

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

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

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.

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.

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

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

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.

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

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

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.

Effective vaccine communication during the disneyland measles outbreak.

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

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.

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

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

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

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

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.

A Model for Mining

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

Are All Languages Created Equal in Multilingual BERT?

Mark Dredze, Shijie Wu, 2020, REPL4NLP.

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

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

#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.

Natural Language Processing for Health and Social Media

Mark Dredze, Michael J. Paul, 2014 .

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

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

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.

Batch Performance for an Online Price

Koby Crammer, John Blitzer, Mark Dredze, 2007 .

Understanding Vaccine Refusal: Why We Need Social Media Now.

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

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.

Feature Design for Transfer Learning

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

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.

Shared Components Topic Models with Application to Selectional Preference

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

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.

The Potential of Twitter as a Data Source for Patient Safety

Peter J Pronovost, Mark Dredze, Atul Nakhasi, 2016, Journal of patient safety.