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ORCIDMark Dredze
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- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2024
[c146]David Mueller, Mark Dredze, Nicholas Andrews:
Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) 2024: 14880-14891- [c145]Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme:
A Closer Look at Claim Decomposition. *SEM@NAACL 2024: 153-175 - [i51]Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze:
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. CoRR abs/2402.18060 (2024) - [i50]Sharon Levy, Tahilin Sanchez Karver, William D. Adler, Michelle R. Kaufman, Mark Dredze:
Evaluating Biases in Context-Dependent Health Questions. CoRR abs/2403.04858 (2024) - [i49]Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme:
A Closer Look at Claim Decomposition. CoRR abs/2403.11903 (2024) - 2023
- [c144]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: 312-329 - [c143]Elizabeth Spaulding, Gary Kazantsev, Mark Dredze:
Joint End-to-end Semantic Proto-role Labeling. ACL (2) 2023: 723-736 - [c142]Jingyu Zhang, Alexandra DeLucia, Chenyu Zhang, Mark Dredze:
Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning. ACL (Findings) 2023: 4778-4794 - [c141]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: 9027-9050 - [i48]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 abs/2303.17564 (2023) - [i47]Carlos Aguirre, Mark Dredze:
Generalizing Fairness using Multi-Task Learning without Demographic Information. CoRR abs/2305.12671 (2023) - [i46]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 abs/2305.16958 (2023) - [i45]Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze:
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models. CoRR abs/2311.08472 (2023) - [i44]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 abs/2311.08687 (2023) - [i43]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 abs/2312.14804 (2023) - 2022
- [j17]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) - [c140]Sheena Panthaplackel, Adrian Benton, Mark Dredze:
Updated Headline Generation: Creating Updated Summaries for Evolving News Stories. ACL (1) 2022: 6438-6461 - [c139]Zach Wood-Doughty, Isabel Cachola, Mark Dredze:
Model Distillation for Faithful Explanations of Medical Code Predictions. BioNLP@ACL 2022: 412-425 - [c138]Xiaolei Huang, Franck Dernoncourt, Mark Dredze:
Enriching Unsupervised User Embedding via Medical Concepts. CHIL 2022: 63-78 - [c137]Jingyu Zhang, Alexandra DeLucia, Mark Dredze:
Changes in Tweet Geolocation over Time: A Study with Carmen 2.0. W-NUT@COLING 2022: 1-14 - [c136]David Mueller, Nicholas Andrews, Mark Dredze:
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) 2022: 2843-2858 - [c135]Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, Mark Dredze:
Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP 2022: 6191-6205 - [c134]Shijie Wu, Benjamin Van Durme, Mark Dredze:
Zero-shot Cross-lingual Transfer is Under-specified Optimization. RepL4NLP@ACL 2022: 236-248 - [c133]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: 208-218 - [i42]Xiaolei Huang, Franck Dernoncourt, Mark Dredze:
Enriching Unsupervised User Embedding via Medical Concepts. CoRR abs/2203.10627 (2022) - [i41]Moniba Keymanesh, Adrian Benton, Mark Dredze:
What Makes Data-to-Text Generation Hard for Pretrained Language Models? CoRR abs/2205.11505 (2022) - [i40]Keith Harrigian, Mark Dredze:
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses. CoRR abs/2206.11155 (2022) - [i39]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 abs/2206.11160 (2022) - [i38]Shijie Wu, Benjamin Van Durme, Mark Dredze:
Zero-shot Cross-lingual Transfer is Under-specified Optimization. CoRR abs/2207.05666 (2022) - [i37]Carlos Aguirre, Mark Dredze, Philip Resnik:
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics. CoRR abs/2211.07932 (2022) - [i36]David Mueller, Nicholas Andrews, Mark Dredze:
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR abs/2212.06645 (2022) - 2021
- [j16]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): 107:1-107:28 (2021) - [c132]Elliot Schumacher, James Mayfield, Mark Dredze:
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. ACL/IJCNLP (Findings) 2021: 583-595 - [c131]Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze:
Using Noisy Self-Reports to Predict Twitter User Demographics. SocialNLP@NAACL 2021: 123-137 - [c130]Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia, Mark Dredze, Anna L. Buczak:
Study of Manifestation of Civil Unrest on Twitter. W-NUT 2021: 396-409 - [c129]Carlos Aguirre, Keith Harrigian, Mark Dredze:
Gender and Racial Fairness in Depression Research using Social Media. EACL 2021: 2932-2949 - [c128]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: 1950-1967 - [c127]Zach Wood-Doughty, Isabel Cachola, Mark Dredze:
Proxy Model Explanations for Time Series RNNs. ICMLA 2021: 698-703 - [c126]Aaron Mueller, Mark Dredze:
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. NAACL-HLT 2021: 3054-3068 - [i35]Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR abs/2102.05638 (2021) - [i34]Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze:
User Factor Adaptation for User Embedding via Multitask Learning. CoRR abs/2102.11103 (2021) - [i33]Carlos Aguirre, Keith Harrigian, Mark Dredze:
Gender and Racial Fairness in Depression Research using Social Media. CoRR abs/2103.10550 (2021) - [i32]Aaron Mueller, Mark Dredze:
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. CoRR abs/2104.05064 (2021) - [i31]Zach Wood-Doughty, Isabel Cachola, Mark Dredze:
Faithful and Plausible Explanations of Medical Code Predictions. CoRR abs/2104.07894 (2021) - [i30]Elliot Schumacher, James Mayfield, Mark Dredze:
Improving Zero-Shot Multi-Lingual Entity Linking. CoRR abs/2104.08082 (2021) - [i29]Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein:
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. CoRR abs/2108.00391 (2021) - [i28]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 abs/2109.06798 (2021) - 2020
- [c125]David Mueller, Nicholas Andrews, Mark Dredze:
Sources of Transfer in Multilingual Named Entity Recognition. ACL 2020: 8093-8104 - [c124]Elliot Schumacher, Andriy Mulyar, Mark Dredze:
Clinical Concept Linking with Contextualized Neural Representations. ACL 2020: 8585-8592 - [c123]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: 215-221 - [c122]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 - [c121]Keith Harrigian, Carlos Aguirre, Mark Dredze:
Do Models of Mental Health Based on Social Media Data Generalize? EMNLP (Findings) 2020: 3774-3788 - [c120]Shijie Wu, Mark Dredze:
Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP (1) 2020: 4471-4482 - [c119]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: 464-475 - [c118]Manya Wadhwa, Silvio Amir, Mark Dredze:
Aligning Public Feedback to Requests for Comments on Regulations.gov. ICWSM 2020: 974-978 - [c117]Shijie Wu, Mark Dredze:
Are All Languages Created Equal in Multilingual BERT? RepL4NLP@ACL 2020: 120-130 - [e3]Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace:
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020. Association for Computational Linguistics 2020 [contents] - [i27]Paiheng Xu, Mark Dredze, David A. Broniatowski:
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets. CoRR abs/2004.02397 (2020) - [i26]Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze:
Using Noisy Self-Reports to Predict Twitter User Demographics. CoRR abs/2005.00635 (2020) - [i25]David Mueller, Nicholas Andrews, Mark Dredze:
Sources of Transfer in Multilingual Named Entity Recognition. CoRR abs/2005.00847 (2020) - [i24]Shijie Wu, Mark Dredze:
Are All Languages Created Equal in Multilingual BERT? CoRR abs/2005.09093 (2020) - [i23]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 abs/2007.09682 (2020) - [i22]Shijie Wu, Mark Dredze:
Do Explicit Alignments Robustly Improve Multilingual Encoders? CoRR abs/2010.02537 (2020) - [i21]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 abs/2010.06472 (2020) - [i20]Elliot Schumacher, James Mayfield, Mark Dredze:
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. CoRR abs/2010.09828 (2020) - [i19]Keith Harrigian, Carlos Aguirre, Mark Dredze:
On the State of Social Media Data for Mental Health Research. CoRR abs/2011.05233 (2020) - [i18]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 abs/2011.08324 (2020)
2010 – 2019
- 2019
- [j15]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) - [j14]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): 787-795 (2019) - [c116]Elliot Schumacher, Mark Dredze:
Discriminative Candidate Generation for Medical Concept Linking. AKBC 2019 - [c115]Shijie Wu, Mark Dredze:
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. EMNLP/IJCNLP (1) 2019: 833-844 - [c114]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 2019: 98-103 - [i17]Shijie Wu, Mark Dredze:
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. CoRR abs/1904.09077 (2019) - [i16]Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze:
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models. CoRR abs/1910.13664 (2019) - 2018
- [j13]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) - [c113]Zach Wood-Doughty, Praateek Mahajan, Mark Dredze:
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter. PEOPLES@NAACL-HTL 2018: 56-61 - [c112]Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze:
Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL 2018: 105-111 - [c111]Adrian Benton, Mark Dredze:
Using Author Embeddings to Improve Tweet Stance Classification. NUT@EMNLP 2018: 184-194 - [c110]Zach Wood-Doughty, Nicholas Andrews, Mark Dredze:
Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP 2018: 208-213 - [c109]Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Challenges of Using Text Classifiers for Causal Inference. EMNLP 2018: 4586-4598 - [c108]Ning Gao, Mark Dredze, Douglas W. Oard:
Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings. HICSS 2018: 1-10 - [c107]Adrian Benton, Mark Dredze:
Deep Dirichlet Multinomial Regression. NAACL-HLT 2018: 365-374 - [c106]Travis Wolfe, Annabelle Carrell, Mark Dredze, Benjamin Van Durme:
Summarizing Entities using Distantly Supervised Information Extractors. ProfS/KG4IR/Data:Search@SIGIR 2018: 51-58 - [i15]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 abs/1809.03684 (2018) - [i14]Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Challenges of Using Text Classifiers for Causal Inference. CoRR abs/1810.00956 (2018) - 2017
- [b1]Michael J. Paul, Mark Dredze:
Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2017, ISBN 978-3-031-01183-2 - [j12]Ning Gao, Mark Dredze, Douglas W. Oard:
Person entity linking in email with NIL detection. J. Assoc. Inf. Sci. Technol. 68(10): 2412-2424 (2017) - [c105]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 - [c104]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Pocket Knowledge Base Population. ACL (2) 2017: 305-310 - [c103]Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) 2017: 1029-1039 - [c102]Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze:
How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS@ACL 2017: 83-89 - [c101]Anietie Andy, Mark Dredze, Mugizi Rwebangira, Chris Callison-Burch:
Constructing an Alias List for Named Entities during an Event. NUT@EMNLP 2017: 40-44 - [c100]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: 12-18 - [c99]Ning Gao, Gregory Sell, Douglas W. Oard, Mark Dredze:
Leveraging side information for speaker identification with the Enron conversational telephone speech collection. ASRU 2017: 577-583 - [c98]Adrian Benton, Glen Coppersmith, Mark Dredze:
Ethical Research Protocols for Social Media Health Research. EthNLP@EACL 2017: 94-102 - [c97]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: 5-8 - [c96]Nanyun Peng, Mark Dredze:
Multi-task Domain Adaptation for Sequence Tagging. Rep4NLP@ACL 2017: 91-100 - [c95]Ning Gao, Douglas W. Oard, Mark Dredze:
Support for Interactive Identification of Mentioned Entities in Conversational Speech. SIGIR 2017: 953-956 - [e2]Allyson Ettinger, Spandana Gella, Matthieu Labeau, Cecilia Ovesdotter Alm, Marine Carpuat, Mark Dredze:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Student Research Workshop. Association for Computational Linguistics 2017, ISBN 978-1-945626-56-2 [contents] - [i13]Ann Irvine, Mark Dredze:
Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order. CoRR abs/1702.05793 (2017) - [i12]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Feature Generation for Robust Semantic Role Labeling. CoRR abs/1702.07046 (2017) - 2016
- [c94]Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze:
Collective Supervision of Topic Models for Predicting Surveys with Social Media. AAAI 2016: 2892-2898 - [c93]Animesh Koratana, Mark Dredze, Margaret S. Chisolm, Matthew W. Johnson, Michael J. Paul:
Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c92]Adrian Benton, Raman Arora, Mark Dredze:
Learning Multiview Embeddings of Twitter Users. ACL (2) 2016 - [c91]Nanyun Peng, Mark Dredze:
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning. ACL (2) 2016 - [c90]Rebecca Knowles, Josh Carroll, Mark Dredze:
Demographer: Extremely Simple Name Demographics. NLP+CSS@EMNLP 2016: 108-113 - [c89]Mark Dredze, Nicholas Andrews, Jay DeYoung:
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP 2016: 20-25 - [c88]Anietie Andy, Satoshi Sekine, Mugizi Rwebangira, Mark Dredze:
Name Variation in Community Question Answering Systems. NUT@COLING 2016: 51-60 - [c87]Ning Gao, Mark Dredze, Douglas W. Oard:
Knowledge Base Population for Organization Mentions in Email. AKBC@NAACL-HLT 2016: 24-28 - [c86]Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar:
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. CHI 2016: 2098-2110 - [c85]Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne:
How Twitter is Changing the Nature of Financial News Discovery. DSMM@SIGMOD 2016: 2:1-2:5 - [c84]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
A Study of Imitation Learning Methods for Semantic Role Labeling. SPNLP@EMNLP 2016: 44-53 - [c83]Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley:
Embedding Lexical Features via Low-Rank Tensors. HLT-NAACL 2016: 1019-1029 - [c82]Mark Dredze, Miles Osborne, Prabhanjan Kambadur:
Geolocation for Twitter: Timing Matters. HLT-NAACL 2016: 1064-1069 - [i11]Nanyun Peng, Mark Dredze:
Learning Word Segmentation Representations to Improve Named Entity Recognition for Chinese Social Media. CoRR abs/1603.00786 (2016) - [i10]Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley:
Embedding Lexical Features via Low-Rank Tensors. CoRR abs/1604.00461 (2016) - [i9]Mark Dredze, Manuel García-Herranz, Alex Rutherford, Gideon Mann:
Twitter as a Source of Global Mobility Patterns for Social Good. CoRR abs/1606.06343 (2016) - [i8]Nanyun Peng, Mark Dredze:
Multi-task Multi-domain Representation Learning for Sequence Tagging. CoRR abs/1608.02689 (2016) - [i7]Adrian Benton, Braden Hancock, Glen Coppersmith, John W. Ayers, Mark Dredze:
After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter. CoRR abs/1610.02060 (2016) - [i6]John W. Ayers, Benjamin M. Althouse, Eric C. Leas, Ted Alcorn, Mark Dredze:
Can Big Media Data Revolutionarize Gun Violence Prevention? CoRR abs/1611.01148 (2016) - 2015
- [j11]Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein:
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11(10) (2015) - [j10]Michael J. Paul, Mark Dredze:
SPRITE: Generalizing Topic Models with Structured Priors. Trans. Assoc. Comput. Linguistics 3: 43-57 (2015) - [j9]Mo Yu, Mark Dredze:
Learning Composition Models for Phrase Embeddings. Trans. Assoc. Comput. Linguistics 3: 227-242 (2015) - [j8]