Mark Dredze - RankMe

253 papers A* 24A 16B 2C 5Misc 5Journal 88Unranked 108

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FIRE-Bench: Evaluating Agents on the Rediscovery of Scientific Insights. CoRR Zhen Wang, Fan Bai, Zhongyan Luo, Jinyan Su, Kaiser Sun, Xinle Yu, Jieyuan Liu, Kun Zhou, Claire Cardie, Mark Dredze, Eric P. Xing, Zhiting Hu
2026	J	`jnl`	Knowing But Not Doing: Convergent Morality and Divergent Action in LLMs. CoRR Jen-tse Huang, Jiantong Qin, Xueli Qiu, Sharon Levy, Michelle R. Kaufman, Mark Dredze
2026	J	`jnl`	Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation. CoRR Jen-tse Huang, Chang Chen, Shiyang Lai, Wenxuan Wang, Michelle R. Kaufman, Mark Dredze
2026	J	`jnl`	Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs. CoRR Kaiser Sun, Xiaochuang Yuan, Hongjun Liu, Chen Zhao, Cheng Zhang, Mark Dredze, Fan Bai
2025	—	`conf`	Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. NAACL (Long Papers) Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze
2025	J	`jnl`	Can Optimization Trajectories Explain Multi-Task Transfer? Trans. Mach. Learn. Res. David Mueller, Mark Dredze, Nicholas Andrews
2025	J	`jnl`	Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer. CoRR Alexandra DeLucia, Mark Dredze
2025	J	`jnl`	Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results. CoRR Jonathan Liu, Haoling Qiu, Jonathan Lasko, Damianos G. Karakos, Mahsa Yarmohammadi, Mark Dredze
2025	A*	`conf`	DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. EMNLP Miriam Wanner, Benjamin Van Durme, Mark Dredze
2025	J	`jnl`	Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles. CoRR Fatima Jahara, Mark Dredze, Sharon Levy
2025	A*	`conf`	Evaluating the Evaluators: Are readability metrics good measures of readability? EMNLP Isabel Cachola, Daniel Khashabi, Mark Dredze
2025	J	`jnl`	Evaluating the Evaluators: Are readability metrics good measures of readability? CoRR Isabel Cachola, Daniel Khashabi, Mark Dredze
2025	A*	`conf`	LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition. EMNLP Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze
2025	J	`jnl`	Label-Guided In-Context Learning for Named Entity Recognition. CoRR Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze
2025	—	`conf`	Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats. ACL (1) Kuleen Sasse, Carlos Alejandro Aguirre, Isabel Cachola, Sharon Levy, Mark Dredze
2025	J	`jnl`	MedScore: Factuality Evaluation of Free-Form Medical Answers. CoRR Heyuan Huang, Alexandra DeLucia, Vijay Murari Tiyyala, Mark Dredze
2025	—	`conf`	RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. NAACL (Long Papers) Bang An, Shiyue Zhang, Mark Dredze
2025	J	`jnl`	RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. CoRR Bang An, Shiyue Zhang, Mark Dredze
2025	—	`conf`	Understanding and Mitigating Risks of Generative AI in Financial Services. FAccT Sebastian Gehrmann, Claire Huang, Xian Teng, Sergei Yurovski, Arjun Bhorkar, Naveen Thomas, John A. Doucette, David S. Rosenberg, Mark Dredze, David Rabinowitz
2025	J	`jnl`	Understanding and Mitigating Risks of Generative AI in Financial Services. CoRR Sebastian Gehrmann, Claire Huang, Xian Teng, Sergei Yurovski, Iyanuoluwa Shode, Chirag S. Patel, Arjun Bhorkar, Naveen Thomas, John A. Doucette, David S. Rosenberg, Mark Dredze, David Rabinowitz
2025	J	`jnl`	What Is Seen Cannot Be Unseen: The Disruptive Effect of Knowledge Conflict on Large Language Models. CoRR Kaiser Sun, Fan Bai, Mark Dredze
2024	—	`conf`	A Closer Look at Claim Decomposition. *SEM@NAACL Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme
2024	J	`jnl`	A Closer Look at Claim Decomposition. CoRR Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme
2024	A*	`conf`	Academics Can Contribute to Domain-Specialized Language Models. EMNLP Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S. Rosenberg, Sebastian Gehrmann
2024	J	`jnl`	Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models. CoRR Kaiser Sun, Mark Dredze
2024	—	`conf`	Are Clinical T5 Models Better for Clinical Text? ML4H@NeurIPS Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze
2024	J	`jnl`	Are Clinical T5 Models Better for Clinical Text? CoRR Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze
2024	J	`jnl`	Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. CoRR Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze
2024	J	`jnl`	Can Optimization Trajectories Explain Multi-Task Transfer? CoRR David Mueller, Mark Dredze, Nicholas Andrews
2024	J	`jnl`	DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. CoRR Miriam Wanner, Benjamin Van Durme, Mark Dredze
2024	A*	`conf`	Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs. EMNLP Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze
2024	J	`jnl`	Evaluating Biases in Context-Dependent Health Questions. CoRR Sharon Levy, Tahilin Sanchez Karver, William D. Adler, Michelle R. Kaufman, Mark Dredze
2024	—	`conf`	Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions. EMNLP (Findings) Sharon Levy, Tahilin Sanchez Karver, William D. Adler, Michelle R. Kaufman, Mark Dredze
2024	—	`conf`	Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts. EMNLP (Findings) Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman
2024	J	`jnl`	Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts. CoRR Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman
2024	J	`jnl`	Give me Some Hard Questions: Synthetic Data Generation for Clinical QA. CoRR Fan Bai, Keith Harrigian, Joel Stremmel, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze
2024	J	`jnl`	Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats. CoRR Kuleen Sasse, Carlos Alejandro Aguirre, Isabel Cachola, Sharon Levy, Mark Dredze
2024	—	`conf`	Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) David Mueller, Mark Dredze, Nicholas Andrews
2024	—	`conf`	Schema-Driven Information Extraction from Heterogeneous Tables. EMNLP (Findings) Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter
2023	J	`jnl`	An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping. CoRR Keith Harrigian, Tina Tang, Anthony Gonzales, Cindy X. Cai, Mark Dredze
2023	J	`jnl`	BloombergGPT: A Large Language Model for Finance. CoRR Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann
2023	—	`conf`	Characterization of Stigmatizing Language in Medical Records. ACL (2) Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze
2023	J	`jnl`	Generalizing Fairness using Multi-Task Learning without Demographic Information. CoRR Carlos Alejandro Aguirre, Mark Dredze
2023	—	`conf`	Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning. ACL (Findings) Jingyu Zhang, Alexandra DeLucia, Chenyu Zhang, Mark Dredze
2023	—	`conf`	Joint End-to-end Semantic Proto-role Labeling. ACL (2) Elizabeth Spaulding, Gary Kazantsev, Mark Dredze
2023	—	`conf`	MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
2023	J	`jnl`	MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. CoRR Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
2023	J	`jnl`	Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models. CoRR Carlos Alejandro Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze
2023	J	`jnl`	Use large language models to promote equity. CoRR 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
2022	A*	`conf`	Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Alejandro Aguirre, Philip Resnik, Mark Dredze
2022	—	`conf`	Changes in Tweet Geolocation over Time: A Study with Carmen 2.0. W-NUT@COLING Jingyu Zhang, Alexandra DeLucia, Mark Dredze
2022	J	`jnl`	Crystal Cube: Forecasting Disruptive Events. Appl. Artif. Intell. 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
2022	—	`conf`	Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) David Mueller, Nicholas Andrews, Mark Dredze
2022	J	`jnl`	Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR David Mueller, Nicholas Andrews, Mark Dredze
2022	—	`conf`	Enriching Unsupervised User Embedding via Medical Concepts. CHIL Xiaolei Huang, Franck Dernoncourt, Mark Dredze
2022	J	`jnl`	Enriching Unsupervised User Embedding via Medical Concepts. CoRR Xiaolei Huang, Franck Dernoncourt, Mark Dredze
2022	—	`conf`	Model Distillation for Faithful Explanations of Medical Code Predictions. BioNLP@ACL Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2022	—	`conf`	The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic. WebSci Keith Harrigian, Mark Dredze
2022	J	`jnl`	The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic. CoRR Keith Harrigian, Mark Dredze
2022	J	`jnl`	Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses. CoRR Keith Harrigian, Mark Dredze
2022	—	`conf`	Updated Headline Generation: Creating Updated Summaries for Evolving News Stories. ACL (1) Sheena Panthaplackel, Adrian Benton, Mark Dredze
2022	J	`jnl`	Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics. CoRR Carlos Alejandro Aguirre, Mark Dredze, Philip Resnik
2022	J	`jnl`	What Makes Data-to-Text Generation Hard for Pretrained Language Models? CoRR Moniba Keymanesh, Adrian Benton, Mark Dredze
2022	—	`conf`	Zero-shot Cross-lingual Transfer is Under-specified Optimization. RepL4NLP@ACL Shijie Wu, Benjamin Van Durme, Mark Dredze
2022	J	`jnl`	Zero-shot Cross-lingual Transfer is Under-specified Optimization. CoRR Shijie Wu, Benjamin Van Durme, Mark Dredze
2021	—	`conf`	Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. ACL/IJCNLP (Findings) Elliot Schumacher, James Mayfield, Mark Dredze
2021	J	`jnl`	Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proc. ACM Hum. Comput. Interact. Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles
2021	—	`conf`	Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) 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
2021	J	`jnl`	Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR 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
2021	J	`jnl`	Faithful and Plausible Explanations of Medical Code Predictions. CoRR Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021	—	`conf`	Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. NAACL-HLT Aaron Mueller, Mark Dredze
2021	J	`jnl`	Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. CoRR Aaron Mueller, Mark Dredze
2021	A	`conf`	Gender and Racial Fairness in Depression Research using Social Media. EACL Carlos Alejandro Aguirre, Keith Harrigian, Mark Dredze
2021	J	`jnl`	Gender and Racial Fairness in Depression Research using Social Media. CoRR Carlos Alejandro Aguirre, Keith Harrigian, Mark Dredze
2021	J	`jnl`	Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2021	J	`jnl`	Improving Zero-Shot Multi-Lingual Entity Linking. CoRR Elliot Schumacher, James Mayfield, Mark Dredze
2021	J	`jnl`	Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. CoRR Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein
2021	C	`conf`	Proxy Model Explanations for Time Series RNNs. ICMLA Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021	—	`conf`	Study of Manifestation of Civil Unrest on Twitter. W-NUT Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia, Mark Dredze, Anna L. Buczak
2021	J	`jnl`	User Factor Adaptation for User Embedding via Multitask Learning. CoRR Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze
2021	—	`conf`	Using Noisy Self-Reports to Predict Twitter User Demographics. SocialNLP@NAACL Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
2020	A	`conf`	Aligning Public Feedback to Requests for Comments on Regulations.gov. ICWSM Manya Wadhwa, Silvio Amir, Mark Dredze
2020	—	`conf`	Are All Languages Created Equal in Multilingual BERT? RepL4NLP@ACL Shijie Wu, Mark Dredze
2020	J	`jnl`	Are All Languages Created Equal in Multilingual BERT? CoRR Shijie Wu, Mark Dredze
2020	—	`conf`	Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. W-NUT@EMNLP Justin Sech, Alexandra DeLucia, Anna L. Buczak, Mark Dredze
2020	A*	`conf`	Clinical Concept Linking with Contextualized Neural Representations. ACL Elliot Schumacher, Andriy Mulyar, Mark Dredze
2020	J	`jnl`	Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. CoRR Elliot Schumacher, James Mayfield, Mark Dredze
2020	Misc	`conf`	Crowd-Diagnosis: When the Public Turns to Social Media to Obtain Clinical Diagnoses. AMIA Alicia L. Nobles, Eric C. Leas, Mark Dredze, Christopher A. Longhurst, Davey Smith, John W. Ayers
2020	J	`jnl`	Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. CoRR Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
2020	—	`conf`	Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP (1) Shijie Wu, Mark Dredze
2020	J	`jnl`	Do Explicit Alignments Robustly Improve Multilingual Encoders? CoRR Shijie Wu, Mark Dredze
2020	—	`conf`	Do Models of Mental Health Based on Social Media Data Generalize? EMNLP (Findings) Keith Harrigian, Carlos Alejandro Aguirre, Mark Dredze
2020	A	`conf`	Examining Peer-to-Peer and Patient-Provider Interactions on a Social Media Community Facilitating Ask the Doctor Services. ICWSM Alicia L. Nobles, Eric C. Leas, Mark Dredze, John W. Ayers
2020	J	`jnl`	Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data. CoRR Rachel Dorn, Alicia L. Nobles, Masoud Rouhizadeh, Mark Dredze
2020	J	`jnl`	On the State of Social Media Data for Mental Health Research. CoRR Keith Harrigian, Carlos Alejandro Aguirre, Mark Dredze
2020	—	`ed.`	Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020 NLP4COVID@EMNLP Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace
2020	A*	`conf`	Sources of Transfer in Multilingual Named Entity Recognition. ACL David Mueller, Nicholas Andrews, Mark Dredze
2020	J	`jnl`	Sources of Transfer in Multilingual Named Entity Recognition. CoRR David Mueller, Nicholas Andrews, Mark Dredze
2020	J	`jnl`	The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda. CoRR David A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn
2020	J	`jnl`	The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets. CoRR Paiheng Xu, Mark Dredze, David A. Broniatowski
2020	J	`jnl`	Using Noisy Self-Reports to Predict Twitter User Demographics. CoRR Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
2019	—	`conf`	Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. EMNLP/IJCNLP (1) Shijie Wu, Mark Dredze
2019	J	`jnl`	Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. CoRR Shijie Wu, Mark Dredze
2019	—	`conf`	Discriminative Candidate Generation for Medical Concept Linking. AKBC Elliot Schumacher, Mark Dredze
2019	J	`jnl`	Elites and foreign actors among the alt-right: The Gab social media platform. First Monday Yuchen Zhou, Mark Dredze, David A. Broniatowski, William D. Adler
2019	J	`jnl`	Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records. J. Am. Medical Informatics Assoc. Tao Chen, Mark Dredze, Jonathan P. Weiner, Hadi Kharrazi
2019	J	`jnl`	Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models. CoRR Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze
2019	Misc	`conf`	Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2018	A*	`conf`	Challenges of Using Text Classifiers for Causal Inference. EMNLP Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	J	`jnl`	Challenges of Using Text Classifiers for Causal Inference. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	—	`conf`	Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
2018	—	`conf`	Deep Dirichlet Multinomial Regression. NAACL-HLT Adrian Benton, Mark Dredze
2018	J	`jnl`	Don't quote me: reverse identification of research participants in social media studies. npj Digit. Medicine John W. Ayers, Theodore L. Caputi, Camille Nebeker, Mark Dredze
2018	—	`conf`	Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings. HICSS Ning Gao, Mark Dredze, Douglas W. Oard
2018	—	`conf`	Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter. PEOPLES@NAACL-HTL Zach Wood-Doughty, Praateek Mahajan, Mark Dredze
2018	—	`conf`	Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
2018	—	`conf`	Summarizing Entities using Distantly Supervised Information Extractors. ProfS/KG4IR/Data:Search@SIGIR Travis Wolfe, Annabelle Carrell, Mark Dredze, Benjamin Van Durme
2018	—	`conf`	Using Author Embeddings to Improve Tweet Stance Classification. NUT@EMNLP Adrian Benton, Mark Dredze
2018	J	`jnl`	Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2017	—	`conf`	Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
2017	—	`conf`	CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 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
2017	—	`conf`	Constructing an Alias List for Named Entities during an Event. NUT@EMNLP Anietie Andy, Mark Dredze, Mugizi Rwebangira, Chris Callison-Burch
2017	—	`conf`	Ethical Research Protocols for Social Media Health Research. EthNLP@EACL Adrian Benton, Glen Coppersmith, Mark Dredze
2017	—	`conf`	Examining Patterns of Influenza Vaccination in Social Media. AAAI Workshops Xiaolei Huang, Michael C. Smith, Michael J. Paul, Dmytro Ryzhkov, Sandra Crouse Quinn, David A. Broniatowski, Mark Dredze
2017	J	`jnl`	Feature Generation for Robust Semantic Role Labeling. CoRR Travis Wolfe, Mark Dredze, Benjamin Van Durme
2017	J	`jnl`	Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order. CoRR Ann Irvine, Mark Dredze
2017	—	`conf`	How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS@ACL Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze
2017	C	`conf`	Leveraging side information for speaker identification with the Enron conversational telephone speech collection. ASRU Ning Gao, Gregory Sell, Douglas W. Oard, Mark Dredze
2017	—	`conf`	Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy. SMM4H@AMIA Michael C. Smith, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski
2017	—	`conf`	Multi-task Domain Adaptation for Sequence Tagging. Rep4NLP@ACL Nanyun Peng, Mark Dredze
2017	J	`jnl`	Person entity linking in email with NIL detection. J. Assoc. Inf. Sci. Technol. Ning Gao, Mark Dredze, Douglas W. Oard
2017	—	`conf`	Pocket Knowledge Base Population. ACL (2) Travis Wolfe, Mark Dredze, Benjamin Van Durme
2017	—	`ed.`	Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Student Research Workshop ACL (Student Research Workshop) Allyson Ettinger, Spandana Gella, Matthieu Labeau, Cecilia Ovesdotter Alm, Marine Carpuat, Mark Dredze
2017	—	`book`	Social Monitoring for Public Health Michael J. Paul, Mark Dredze
2017	A*	`conf`	Support for Interactive Identification of Mentioned Entities in Conversational Speech. SIGIR Ning Gao, Douglas W. Oard, Mark Dredze
2016	—	`conf`	A Study of Imitation Learning Methods for Semantic Role Labeling. SPNLP@EMNLP Travis Wolfe, Mark Dredze, Benjamin Van Durme
2016	J	`jnl`	After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter. CoRR Adrian Benton, Braden Hancock, Glen Coppersmith, John W. Ayers, Mark Dredze
2016	J	`jnl`	Can Big Media Data Revolutionarize Gun Violence Prevention? CoRR John W. Ayers, Benjamin M. Althouse, Eric C. Leas, Ted Alcorn, Mark Dredze
2016	A*	`conf`	Collective Supervision of Topic Models for Predicting Surveys with Social Media. AAAI Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze
2016	—	`conf`	Demographer: Extremely Simple Name Demographics. NLP+CSS@EMNLP Rebecca Knowles, Josh Carroll, Mark Dredze
2016	A*	`conf`	Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. CHI Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
2016	—	`conf`	Embedding Lexical Features via Low-Rank Tensors. HLT-NAACL Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley
2016	J	`jnl`	Embedding Lexical Features via Low-Rank Tensors. CoRR Mo Yu, Mark Dredze, Raman Arora, Matthew Gormley
2016	—	`conf`	Geolocation for Twitter: Timing Matters. HLT-NAACL Mark Dredze, Miles Osborne, Prabhanjan Kambadur
2016	—	`conf`	How Twitter is Changing the Nature of Financial News Discovery. DSMM@SIGMOD Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne
2016	—	`conf`	Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning. ACL (2) Nanyun Peng, Mark Dredze
2016	—	`conf`	Knowledge Base Population for Organization Mentions in Email. AKBC@NAACL-HLT Ning Gao, Mark Dredze, Douglas W. Oard
2016	—	`conf`	Learning Multiview Embeddings of Twitter Users. ACL (2) Adrian Benton, Raman Arora, Mark Dredze
2016	J	`jnl`	Learning Word Segmentation Representations to Improve Named Entity Recognition for Chinese Social Media. CoRR Nanyun Peng, Mark Dredze
2016	J	`jnl`	Multi-task Multi-domain Representation Learning for Sequence Tagging. CoRR Nanyun Peng, Mark Dredze
2016	—	`conf`	Name Variation in Community Question Answering Systems. NUT@COLING Anietie Andy, Satoshi Sekine, Mugizi Rwebangira, Mark Dredze
2016	—	`conf`	Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak. AAAI Workshop: WWW and Population Health Intelligence Animesh Koratana, Mark Dredze, Margaret S. Chisolm, Matthew W. Johnson, Michael J. Paul
2016	J	`jnl`	Twitter as a Source of Global Mobility Patterns for Social Good. CoRR Mark Dredze, Manuel García-Herranz, Alex Rutherford, Gideon Mann
2016	—	`conf`	Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP Mark Dredze, Nicholas Andrews, Jay DeYoung
2015	—	`conf`	A Concrete Chinese NLP Pipeline. HLT-NAACL Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze
2015	—	`conf`	An Empirical Study of Chinese Name Matching and Applications. ACL (2) Nanyun Peng, Mo Yu, Mark Dredze
2015	J	`jnl`	Approximation-Aware Dependency Parsing by Belief Propagation. CoRR Matthew R. Gormley, Mark Dredze, Jason Eisner
2015	J	`jnl`	Approximation-Aware Dependency Parsing by Belief Propagation. Trans. Assoc. Comput. Linguistics Matthew R. Gormley, Mark Dredze, Jason Eisner
2015	—	`conf`	CLPsych 2015 Shared Task: Depression and PTSD on Twitter. CLPsych@HLT-NAACL Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell
2015	J	`jnl`	Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein
2015	—	`conf`	Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. HLT-NAACL Mo Yu, Matthew R. Gormley, Mark Dredze
2015	—	`conf`	Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides. HT Mrinal Kumar, Mark Dredze, Glen Coppersmith, Munmun De Choudhury
2015	—	`conf`	Entity Linking for Spoken Language. HLT-NAACL Adrian Benton, Mark Dredze
2015	—	`conf`	FrameNet+: Fast Paraphrastic Tripling of FrameNet. ACL (2) Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme
2015	—	`conf`	From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses. CLPsych@HLT-NAACL Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead
2015	A*	`conf`	Improved Relation Extraction with Feature-Rich Compositional Embedding Models. EMNLP Matthew R. Gormley, Mo Yu, Mark Dredze
2015	J	`jnl`	Improved Relation Extraction with Feature-rich Compositional Embedding Models. CoRR Matthew R. Gormley, Mo Yu, Mark Dredze
2015	J	`jnl`	Interactive Knowledge Base Population. CoRR Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Benjamin Van Durme
2015	J	`jnl`	Learning Composition Models for Phrase Embeddings. Trans. Assoc. Comput. Linguistics Mo Yu, Mark Dredze
2015	A*	`conf`	Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings. EMNLP Nanyun Peng, Mark Dredze
2015	—	`conf`	Predicate Argument Alignment using a Global Coherence Model. HLT-NAACL Travis Wolfe, Mark Dredze, Benjamin Van Durme
2015	J	`jnl`	SPRITE: Generalizing Topic Models with Structured Priors. Trans. Assoc. Comput. Linguistics Michael J. Paul, Mark Dredze
2015	—	`conf`	The Hurricane Sandy Twitter Corpus. AAAI Workshop: WWW and Public Health Intelligence Haoyu Wang, Eduard H. Hovy, Mark Dredze
2015	—	`conf`	Worldwide Influenza Surveillance through Twitter. AAAI Workshop: WWW and Public Health Intelligence Michael J. Paul, Mark Dredze, David A. Broniatowski, Nicholas Generous
2014	J	`jnl`	A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. J. Am. Medical Informatics Assoc. Byron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze
2014	A	`conf`	Facebook, Twitter and Google Plus for Breaking News: Is There a Winner? ICWSM Miles Osborne, Mark Dredze
2014	—	`conf`	Improving Lexical Embeddings with Semantic Knowledge. ACL (2) Mo Yu, Mark Dredze
2014	—	`conf`	Learning Polylingual Topic Models from Code-Switched Social Media Documents. ACL (2) Nanyun Peng, Yiming Wang, Mark Dredze
2014	—	`conf`	Low-Resource Semantic Role Labeling. ACL (1) Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze
2014	A	`conf`	Measuring Post Traumatic Stress Disorder in Twitter. ICWSM Glen Coppersmith, Craig Harman, Mark Dredze
2014	—	`conf`	Quantifying Mental Health Signals in Twitter. CLPsych@ACL Glen Coppersmith, Mark Dredze, Craig Harman
2014	—	`conf`	Robust Entity Clustering via Phylogenetic Inference. ACL (1) Nicholas Andrews, Jason Eisner, Mark Dredze
2014	J	`jnl`	Social Media Analytics for Smart Health. IEEE Intell. Syst. Ahmed Abbasi, Donald A. Adjeroh, Mark Dredze, Michael J. Paul, Fatemeh "Mariam" Zahedi, Huimin Zhao, Nitin Walia, Hemant K. Jain, Patrick Sanvanson, Reza Shaker, Marco D. Huesch, Richard Beal, Wanhong Zheng, Marie Abate, Arun Ross
2013	J	`jnl`	Adaptive regularization of weight vectors. Mach. Learn. Koby Crammer, Alex Kulesza, Mark Dredze
2013	—	`conf`	Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. HLT-NAACL Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky
2013	—	`conf`	Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models. HLT-NAACL Michael J. Paul, Mark Dredze
2013	—	`ch.`	Entity Linking: Finding Extracted Entities in a Knowledge Base. Multi-source, Multilingual Information Extraction and Summarization Delip Rao, Paul McNamee, Mark Dredze
2013	J	`jnl`	Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation CoRR Damianos G. Karakos, Mark Dredze, Sanjeev Khudanpur
2013	—	`conf`	PARMA: A Predicate Argument Aligner. ACL (2) Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao
2013	—	`conf`	Separating Fact from Fear: Tracking Flu Infections on Twitter. HLT-NAACL Alex Lamb, Michael J. Paul, Mark Dredze
2013	—	`conf`	Topic Models and Metadata for Visualizing Text Corpora. HLT-NAACL Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew Gormley, Travis Wolfe
2013	—	`conf`	What's in a Domain? Multi-Domain Learning for Multi-Attribute Data. HLT-NAACL Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Rosé
2012	J	`jnl`	Confidence-Weighted Linear Classification for Text Categorization. J. Mach. Learn. Res. Koby Crammer, Mark Dredze, Fernando Pereira
2012	A	`conf`	Deriving conversation-based features from unlabeled speech for discriminative language modeling. INTERSPEECH Damianos G. Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
2012	A	`conf`	Efficient Structured Language Modeling for Speech Recognition. INTERSPEECH Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
2012	—	`conf`	Entity Clustering Across Languages. HLT-NAACL Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning
2012	—	`conf`	Experimenting with Drugs (and Topic Models): Multi-Dimensional Exploration of Recreational Drug Discussions. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text Michael J. Paul, Mark Dredze
2012	—	`conf`	Factorial LDA: Sparse Multi-Dimensional Text Models. NIPS Michael J. Paul, Mark Dredze
2012	—	`conf`	Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining. ACL (1) Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
2012	J	`jnl`	How Social Media Will Change Public Health. IEEE Intell. Syst. Mark Dredze
2012	—	`conf`	Investigating Twitter as a Source for Studying Behavioral Responses to Epidemics. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text Alex Lamb, Michael J. Paul, Mark Dredze
2012	—	`conf`	Malpractice and Malcontent: Analyzing Medical Complaints in Twitter. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text Atul Nakhasi, Ralph Passarella, Sarah G. Bell, Michael J. Paul, Mark Dredze, Peter Pronovost
2012	—	`conf`	Multi-Domain Learning: When Do Domains Matter? EMNLP-CoNLL Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Rosé
2012	—	`conf`	Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL Nicholas Andrews, Jason Eisner, Mark Dredze
2012	Misc	`conf`	New ℌ ICASSP Koby Crammer, Alex Kulesza, Mark Dredze
2012	—	`conf`	Revisiting the Case for Explicit Syntactic Information in Language Models. WLM@NAACL-HLT Ariya Rastrow, Sanjeev Khudanpur, Mark Dredze
2012	—	`conf`	Shared Components Topic Models. HLT-NAACL Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner
2012	Misc	`conf`	Twitter as a Source for Learning about Patient Safety Events. AMIA Ralph Passarella, Atul Nakhasi, Sarah G. Bell, Michael J. Paul, Peter Pronovost, Mark Dredze
2011	C	`conf`	Adapting n-gram maximum entropy language models with conditional entropy regularization. ASRU Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
2011	C	`conf`	Efficient discriminative training of long-span language models. ASRU Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
2011	C	`conf`	Estimating document frequencies in a speech corpus. ASRU Damianos G. Karakos, Mark Dredze, Ken Ward Church, Aren Jansen, Sanjeev Khudanpur
2011	Misc	`conf`	Hill climbing on speech lattices: A new rescoring framework. ICASSP Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze
2011	A*	`conf`	Learning Sub-Word Units for Open Vocabulary Speech Recognition. ACL Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya Rastrow
2011	A	`conf`	OOV Sensitive Named-Entity Recognition in Speech. INTERSPEECH Carolina Parada, Mark Dredze, Frederick Jelinek
2011	A	`conf`	You Are What You Tweet: Analyzing Twitter for Public Health. ICWSM Michael J. Paul, Mark Dredze
2010	A	`conf`	A spoken term detection framework for recovering out-of-vocabulary words using the web. INTERSPEECH Carolina Parada, Abhinav Sethy, Mark Dredze, Frederick Jelinek
2010	—	`conf`	Annotating Named Entities in Twitter Data with Crowdsourcing. Mturk@HLT-NAACL Tim Finin, William Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, Mark Dredze
2010	—	`conf`	Contextual Information Improves OOV Detection in Speech. HLT-NAACL Carolina Parada, Mark Dredze, Denis Filimonov, Frederick Jelinek
2010	—	`conf`	Creating Speech and Language Data With Amazon's Mechanical Turk. Mturk@HLT-NAACL Chris Callison-Burch, Mark Dredze
2010	B	`conf`	Entity Disambiguation for Knowledge Base Population. COLING Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin
2010	A	`conf`	Exploiting Feature Covariance in High-Dimensional Online Learning. AISTATS Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul, Fernando Pereira
2010	J	`jnl`	Multi-domain learning by confidence-weighted parameter combination. Mach. Learn. Mark Dredze, Alex Kulesza, Koby Crammer
2010	A*	`conf`	NLP on Spoken Documents Without ASR. EMNLP Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Ward Church
2010	—	`conf`	Non-Expert Correction of Automatically Generated Relation Annotations. Mturk@HLT-NAACL Matthew R. Gormley, Adam Gerber, Mary P. Harper, Mark Dredze
2010	—	`ed.`	Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Los Angeles, USA, June 6, 2010 Mturk@HLT-NAACL Chris Callison-Burch, Mark Dredze
2010	—	`conf`	Streaming Cross Document Entity Coreference Resolution. COLING (Posters) Delip Rao, Paul McNamee, Mark Dredze
2010	A*	`conf`	We're Not in Kansas Anymore: Detecting Domain Changes in Streams. EMNLP Mark Dredze, Tim Oates, Christine D. Piatko
2009	J	`jnl`	AAAI 2008 Workshop Reports. AI Mag. Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou
2009	—	`conf`	Adaptive Regularization of Weight Vectors. NIPS Koby Crammer, Alex Kulesza, Mark Dredze
2009	—	`conf`	HLTCOE Approaches to Knowledge Base Population at TAC 2009. TAC Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer
2009	A*	`conf`	Multi-Class Confidence Weighted Algorithms. EMNLP Koby Crammer, Mark Dredze, Alex Kulesza
2009	A*	`conf`	Suggesting Email View Filters for Triage and Search. IJCAI Mark Dredze, Bill N. Schilit, Peter Norvig
2008	—	`conf`	Active Learning with Confidence. ACL (2) Mark Dredze, Koby Crammer
2008	A*	`conf`	Confidence-weighted linear classification. ICML Mark Dredze, Koby Crammer, Fernando Pereira
2008	—	`conf`	Exact Convex Confidence-Weighted Learning. NIPS Koby Crammer, Mark Dredze, Fernando Pereira
2008	A	`conf`	Generating summary keywords for emails using topics. IUI Mark Dredze, Hanna M. Wallach, Danny Puller, Fernando Pereira
2008	—	`conf`	Icelandic Data Driven Part of Speech Tagging. ACL (2) Mark Dredze, Joel Wallenberg
2008	A*	`conf`	Intelligent Email: Aiding Users with AI. AAAI Mark Dredze, Hanna M. Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira
2008	A	`conf`	Intelligent email: reply and attachment prediction. IUI Mark Dredze, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira
2008	A*	`conf`	Online Methods for Multi-Domain Learning and Adaptation. EMNLP Mark Dredze, Koby Crammer
2008	B	`conf`	Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis. COLING Kevin Lerman, Ari Gilder, Mark Dredze, Fernando Pereira
2007	—	`conf`	Automatic Code Assignment to Medical Text. BioNLP@ACL Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll
2007	A*	`conf`	Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. ACL John Blitzer, Mark Dredze, Fernando Pereira
2007	—	`conf`	Frustratingly Hard Domain Adaptation for Dependency Parsing. EMNLP-CoNLL Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira
2007	—	`conf`	Learning Fast Classifiers for Image Spam. CEAS Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
2006	—	`conf`	"Sorry, I Forgot the Attachment": Email Attachment Prediction. CEAS Mark Dredze, John Blitzer, Fernando Pereira
2006	A*	`conf`	Activity-Centric Email: A Machine Learning Approach. AAAI Nicholas Kushmerick, Tessa A. Lau, Mark Dredze, Rinat Khoussainov
2006	A	`conf`	Automatically classifying emails into activities. IUI Mark Dredze, Tessa A. Lau, Nicholas Kushmerick
2005	—	`conf`	Managers' email: beyond tasks and to-dos. CHI Extended Abstracts Catalina Danis, Wendy A. Kellogg, Tessa A. Lau, Mark Dredze, Jeffrey Stylos, Nicholas Kushmerick
2005	—	`conf`	Reply Expectation Prediction for Email Management. CEAS Mark Dredze, John Blitzer, Fernando Pereira
2005	—	`conf`	TREC 2005 Genomics Track Experiments at IBM Watson. TREC Rie Kubota Ando, Mark Dredze, Tong Zhang
2003	A	`conf`	Beyond broadcast. IUI Kevin Livingston, Mark Dredze, Kristian J. Hammond, Larry Birnbaum
2003	A	`conf`	Beyond broadcast: a demo. IUI Kevin Livingston, Mark Dredze, Kristian J. Hammond, Larry Birnbaum