NLPExplorer
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#ACL2020
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Mark Dredze
Number of Papers:- 82
Number of Citations:- 756
First ACL Paper:- 2007
Latest ACL Paper:- 2020
Venues:-
COLING
WS
SocialNLP
PEOPLES
Rep4NLP
IJCNLP
EMNLP
NLP+CSS
ACL
Findings
CLPsych
TACL
RepL4NLP
NLP-COVID19
EthNLP
CoNLL
WNUT
NAACL
Co-Authors:-
Abhinav Sethy
Adam Gerber
Adam Poliak
Adrian Benton
Alex Comerford
Similar Authors:-
Erin Kelly
Octavian Ciobanu
Cosmin Florean
Oana Bejenaru
Eduard Apostol
2020
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2008
2007
Clinical Concept Linking with Contextualized Neural Representations
ACL
Elliot Schumacher |
Andriy Mulyar |
Mark Dredze |
Are All Languages Created Equal in Multilingual BERT?
ACL
RepL4NLP
WS
Shijie Wu |
Mark Dredze |
Sources of Transfer in Multilingual Named Entity Recognition
ACL
David Mueller |
Nicholas Andrews |
Mark Dredze |
Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest
EMNLP
WNUT
Justin Sech |
Alexandra DeLucia |
Anna L. Buczak |
Mark Dredze |
Do Explicit Alignments Robustly Improve Multilingual Encoders?
EMNLP
Shijie Wu |
Mark Dredze |
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
EMNLP
NLP-COVID19
Karin Verspoor |
Kevin Bretonnel Cohen |
Michael Conway |
Berry de Bruijn |
Mark Dredze |
Rada Mihalcea |
Byron Wallace |
Do Models of Mental Health Based on Social Media Data Generalize?
EMNLP
Findings
Keith Harrigian |
Carlos Aguirre |
Mark Dredze |
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
EMNLP
Shijie Wu |
Mark Dredze |
Mental Health Surveillance over Social Media with Digital Cohorts
NAACL
WS
Silvio Amir |
Mark Dredze |
John W. Ayers |
Challenges of Using Text Classifiers for Causal Inference
EMNLP
Zach Wood-Doughty |
Ilya Shpitser |
Mark Dredze |
Deep Dirichlet Multinomial Regression
NAACL
Adrian Benton |
Mark Dredze |
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter
NAACL
PEOPLES
WS
Zach Wood-Doughty |
Praateek Mahajan |
Mark Dredze |
Predicting Twitter User Demographics from Names Alone
NAACL
PEOPLES
WS
Zach Wood-Doughty |
Nicholas Andrews |
Rebecca Marvin |
Mark Dredze |
Using Author Embeddings to Improve Tweet Stance Classification
EMNLP
WS
Adrian Benton |
Mark Dredze |
Convolutions Are All You Need (For Classifying Character Sequences)
EMNLP
WS
Zach Wood-Doughty |
Nicholas Andrews |
Mark Dredze |
CADET: Computer Assisted Discovery Extraction and Translation
IJCNLP
Benjamin Van Durme |
Tom Lippincott |
Kevin Duh |
Deana Burchfield |
Adam Poliak |
Cash Costello |
Tim Finin |
Scott Miller |
James Mayfield |
Philipp Koehn |
Craig Harman |
Dawn 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 |
Bayesian Modeling of Lexical Resources for Low-Resource Settings
ACL
Nicholas Andrews |
Mark Dredze |
Benjamin Van Durme |
Jason Eisner |
Pocket Knowledge Base Population
ACL
Travis Wolfe |
Mark Dredze |
Benjamin Van Durme |
Proceedings of ACL 2017, Student Research Workshop
ACL
Allyson Ettinger |
Spandana Gella |
Matthieu Labeau |
Cecilia Ovesdotter Alm |
Marine Carpuat |
Mark Dredze |
Ethical Research Protocols for Social Media Health Research
EthNLP
WS
Adrian Benton |
Glen Coppersmith |
Mark Dredze |
Multi-task Domain Adaptation for Sequence Tagging
Rep4NLP
WS
Nanyun Peng |
Mark Dredze |
How Does Twitter User Behavior Vary Across Demographic Groups?
NLP+CSS
WS
Zach Wood-Doughty |
Michael Smith |
David Broniatowski |
Mark Dredze |
Constructing an Alias List for Named Entities during an Event
WNUT
WS
Anietie Andy |
Mark Dredze |
Mugizi Rwebangira |
Chris Callison-Burch |
Embedding Lexical Features via Low-Rank Tensors
NAACL
Mo Yu |
Mark Dredze |
Raman Arora |
Matthew R. Gormley |
Geolocation for Twitter: Timing Matters
NAACL
Mark Dredze |
Miles Osborne |
Prabhanjan Kambadur |
Learning Multiview Embeddings of Twitter Users
ACL
Adrian Benton |
Raman Arora |
Mark Dredze |
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
ACL
Nanyun Peng |
Mark Dredze |
Knowledge Base Population for Organization Mentions in Email
WS
Ning Gao |
Mark Dredze |
Douglas Oard |
Name Variation in Community Question Answering Systems
WNUT
WS
Anietie Andy |
Satoshi Sekine |
Mugizi Rwebangira |
Mark Dredze |
Demographer: Extremely Simple Name Demographics
NLP+CSS
WS
Rebecca Knowles |
Josh Carroll |
Mark Dredze |
A Study of Imitation Learning Methods for Semantic Role Labeling
WS
Travis Wolfe |
Mark Dredze |
Benjamin Van Durme |
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation
SocialNLP
WS
Mark Dredze |
Nicholas Andrews |
Jay DeYoung |
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
EMNLP
Nanyun Peng |
Mark Dredze |
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
EMNLP
Matthew R. Gormley |
Mo Yu |
Mark Dredze |
Predicate Argument Alignment using a Global Coherence Model
NAACL
Travis Wolfe |
Mark Dredze |
Benjamin Van Durme |
Entity Linking for Spoken Language
NAACL
Adrian Benton |
Mark Dredze |
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
NAACL
Mo Yu |
Matthew R. Gormley |
Mark Dredze |
A Concrete Chinese NLP Pipeline
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 |
An Empirical Study of Chinese Name Matching and Applications
ACL
IJCNLP
Nanyun Peng |
Mo Yu |
Mark Dredze |
FrameNet+: Fast Paraphrastic Tripling of FrameNet
ACL
IJCNLP
Ellie Pavlick |
Travis Wolfe |
Pushpendre Rastogi |
Chris Callison-Burch |
Mark Dredze |
Benjamin Van Durme |
Sprite: Generalizing Topic Models with Structured Priors
TACL
Michael J. Paul |
Mark Dredze |
Learning Composition Models for Phrase Embeddings
TACL
Mo Yu |
Mark Dredze |
Approximation-Aware Dependency Parsing by Belief Propagation
TACL
Matthew R. Gormley |
Mark Dredze |
Jason Eisner |
From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses
CLPsych
WS
Glen Coppersmith |
Mark Dredze |
Craig Harman |
Kristy Hollingshead |
CLPsych 2015 Shared Task: Depression and PTSD on Twitter
CLPsych
WS
Glen Coppersmith |
Mark Dredze |
Craig Harman |
Kristy Hollingshead |
Margaret Mitchell |
Robust Entity Clustering via Phylogenetic Inference
ACL
Nicholas Andrews |
Jason Eisner |
Mark Dredze |
Low-Resource Semantic Role Labeling
ACL
Matthew R. Gormley |
Margaret Mitchell |
Benjamin Van Durme |
Mark Dredze |
Improving Lexical Embeddings with Semantic Knowledge
ACL
Mo Yu |
Mark Dredze |
Learning Polylingual Topic Models from Code-Switched Social Media Documents
ACL
Nanyun Peng |
Yiming Wang |
Mark Dredze |
Quantifying Mental Health Signals in Twitter
WS
Glen Coppersmith |
Mark Dredze |
Craig Harman |
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models
NAACL
Michael J. Paul |
Mark Dredze |
What’s in a Domain? Multi-Domain Learning for Multi-Attribute Data
NAACL
Mahesh Joshi |
Mark Dredze |
William W. Cohen |
Carolyn P. Rosé |
Separating Fact from Fear: Tracking Flu Infections on Twitter
NAACL
Alex Lamb |
Michael J. Paul |
Mark Dredze |
Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter
NAACL
Shane Bergsma |
Mark Dredze |
Benjamin Van Durme |
Theresa Wilson |
David Yarowsky |
Topic Models and Metadata for Visualizing Text Corpora
NAACL
Justin Snyder |
Rebecca Knowles |
Mark Dredze |
Matthew Gormley |
Travis Wolfe |
PARMA: A Predicate Argument Aligner
ACL
Travis Wolfe |
Benjamin Van Durme |
Mark Dredze |
Nicholas Andrews |
Charley Beller |
Chris Callison-Burch |
Jay DeYoung |
Justin Snyder |
Jonathan Weese |
Tan Xu |
Xuchen Yao |
Name Phylogeny: A Generative Model of String Variation
CoNLL
EMNLP
Nicholas Andrews |
Jason Eisner |
Mark Dredze |
Multi-Domain Learning: When Do Domains Matter?
CoNLL
EMNLP
Mahesh Joshi |
Mark Dredze |
William W. Cohen |
Carolyn Rosé |
Entity Clustering Across Languages
NAACL
Spence Green |
Nicholas Andrews |
Matthew R. Gormley |
Mark Dredze |
Christopher D. Manning |
Shared Components Topic Models
NAACL
Matthew R. Gormley |
Mark Dredze |
Benjamin Van Durme |
Jason Eisner |
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
ACL
Ariya Rastrow |
Mark Dredze |
Sanjeev Khudanpur |
Revisiting the Case for Explicit Syntactic Information in Language Models
NAACL
WS
Ariya Rastrow |
Sanjeev Khudanpur |
Mark Dredze |
Learning Sub-Word Units for Open Vocabulary Speech Recognition
ACL
Carolina Parada |
Mark Dredze |
Abhinav Sethy |
Ariya Rastrow |
Entity Disambiguation for Knowledge Base Population
COLING
Mark Dredze |
Paul McNamee |
Delip Rao |
Adam Gerber |
Tim Finin |
Streaming Cross Document Entity Coreference Resolution
COLING
Delip Rao |
Paul McNamee |
Mark Dredze |
NLP on Spoken Documents Without ASR
EMNLP
Mark Dredze |
Aren Jansen |
Glen Coppersmith |
Ken Church |
We’re Not in Kansas Anymore: Detecting Domain Changes in Streams
EMNLP
Mark Dredze |
Tim Oates |
Christine Piatko |
Contextual Information Improves OOV Detection in Speech
NAACL
Carolina Parada |
Mark Dredze |
Denis Filimonov |
Frederick Jelinek |
Learning Simple Wikipedia: A Cogitation in Ascertaining Abecedarian Language
WS
Courtney Napoles |
Mark Dredze |
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk
WS
Chris Callison-Burch |
Mark Dredze |
Creating Speech and Language Data With Amazon’s Mechanical Turk
WS
Chris Callison-Burch |
Mark Dredze |
Annotating Named Entities in Twitter Data with Crowdsourcing
WS
Tim Finin |
William Murnane |
Anand Karandikar |
Nicholas Keller |
Justin Martineau |
Mark Dredze |
Non-Expert Correction of Automatically Generated Relation Annotations
WS
Matthew R. Gormley |
Adam Gerber |
Mary Harper |
Mark Dredze |
Multi-Class Confidence Weighted Algorithms
EMNLP
Koby Crammer |
Mark Dredze |
Alex Kulesza |
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis
COLING
Kevin Lerman |
Ari Gilder |
Mark Dredze |
Fernando Pereira |
Online Methods for Multi-Domain Learning and Adaptation
EMNLP
Mark Dredze |
Koby Crammer |
Icelandic Data Driven Part of Speech Tagging
ACL
Mark Dredze |
Joel Wallenberg |
Active Learning with Confidence
ACL
Mark Dredze |
Koby Crammer |
Small Statistical Models by Random Feature Mixing
WS
Kuzman Ganchev |
Mark Dredze |
Frustratingly Hard Domain Adaptation for Dependency Parsing
CoNLL
EMNLP
Mark Dredze |
John Blitzer |
Partha Pratim Talukdar |
Kuzman Ganchev |
João Graça |
Fernando Pereira |
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
ACL
John Blitzer |
Mark Dredze |
Fernando Pereira |
Automatic Code Assignment to Medical Text
WS
Koby Crammer |
Mark Dredze |
Kuzman Ganchev |
Partha Pratim Talukdar |
Steven Carroll |
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