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#ACL2020
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Lyle Ungar
Number of Papers:- 54
Number of Citations:- 239
First ACL Paper:- 2004
Latest ACL Paper:- 2020
Venues:-
COLING
WS
HLT
PEOPLES
IJCNLP
EMNLP
NLP+CSS
ACL
Findings
CLPsych
WASSA
INLG
NLP-COVID19
Eval4NLP
EACL
*SEMEVAL
CoNLL
LREC
NAACL
Co-Authors:-
Abdelrahim Elmadany
Adam Kapelner
Allegra Larche
Andrew Schein
Ann Bies
Similar Authors:-
Pedro Aniel Sanchez Mirabal
Yarelis Ruano Torres
Xiangwen Liao
Tatsuya Iwanari
Kohei Ohara
2020
2019
2018
2017
2016
2015
2014
2013
2012
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2009
2006
2004
Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations
COLING
PEOPLES
Sven Buechel |
João Sedoc |
H. Andrew Schwartz |
Lyle Ungar |
Item Response Theory for Efficient Human Evaluation of Chatbots
EMNLP
Eval4NLP
João Sedoc |
Lyle Ungar |
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
EMNLP
NLP-COVID19
Roshan Santosh |
H. Schwartz |
Johannes Eichstaedt |
Lyle Ungar |
Sharath Chandra Guntuku |
Predicting Responses to Psychological Questionnaires from Participants’ Social Media Posts and Question Text Embeddings
EMNLP
Findings
Huy Vu |
Suhaib Abdurahman |
Sudeep Bhatia |
Lyle Ungar |
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
EMNLP
Muhammad Abdul-Mageed |
Chiyu Zhang |
AbdelRahim Elmadany |
Lyle Ungar |
Continual Learning for Sentence Representations Using Conceptors
NAACL
Tianlin Liu |
Lyle Ungar |
João Sedoc |
ChatEval: A Tool for Chatbot Evaluation
NAACL
João Sedoc |
Daphne Ippolito |
Arun Kirubarajan |
Jai Thirani |
Lyle Ungar |
Chris Callison-Burch |
Conceptor Debiasing of Word Representations Evaluated on WEAT
ACL
WS
Saket Karve |
Lyle Ungar |
João Sedoc |
The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations
ACL
WS
João Sedoc |
Lyle Ungar |
Unsupervised Morphology Learning with Statistical Paradigms
COLING
Hongzhi Xu |
Mitchell Marcus |
Charles Yang |
Lyle Ungar |
User-Level Race and Ethnicity Predictors from Twitter Text
COLING
Daniel Preoţiuc-Pietro |
Lyle Ungar |
Identifying Locus of Control in Social Media Language
EMNLP
Masoud Rouhizadeh |
Kokil Jaidka |
Laura Smith |
H. Andrew Schwartz |
Anneke Buffone |
Lyle Ungar |
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
EMNLP
Salvatore Giorgi |
Daniel Preoţiuc-Pietro |
Anneke Buffone |
Daniel Rieman |
Lyle Ungar |
H. Andrew Schwartz |
Modeling Empathy and Distress in Reaction to News Stories
EMNLP
Sven Buechel |
Anneke Buffone |
Barry Slaff |
Lyle Ungar |
João Sedoc |
Diachronic degradation of language models: Insights from social media
ACL
Kokil Jaidka |
Niyati Chhaya |
Lyle Ungar |
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task
CLPsych
NAACL
WS
Sharath Chandra Guntuku |
Salvatore Giorgi |
Lyle Ungar |
Enabling Deep Learning of Emotion With First-Person Seed Expressions
NAACL
PEOPLES
WS
Hassan Alhuzali |
Muhammad Abdul-Mageed |
Lyle Ungar |
ChatEval: A Tool for the Systematic Evaluation of Chatbots
INLG
WS
João Sedoc |
Daphne Ippolito |
Arun Kirubarajan |
Jai Thirani |
Lyle Ungar |
Chris Callison-Burch |
Controlling Human Perception of Basic User Traits
EMNLP
Daniel Preoţiuc-Pietro |
Sharath Chandra Guntuku |
Lyle Ungar |
Assessing Objective Recommendation Quality through Political Forecasting
EMNLP
H. Andrew Schwartz |
Masoud Rouhizadeh |
Michael Bishop |
Philip Tetlock |
Barbara Mellers |
Lyle Ungar |
DLATK: Differential Language Analysis ToolKit
EMNLP
H. Andrew Schwartz |
Salvatore Giorgi |
Maarten Sap |
Patrick Crutchley |
Lyle Ungar |
Johannes Eichstaedt |
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
EACL
João Sedoc |
Daniel Preoţiuc-Pietro |
Lyle Ungar |
Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions
IJCNLP
Daniel Rieman |
Kokil Jaidka |
H. Andrew Schwartz |
Lyle Ungar |
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
ACL
Muhammad Abdul-Mageed |
Lyle Ungar |
Beyond Binary Labels: Political Ideology Prediction of Twitter Users
ACL
Daniel Preoţiuc-Pietro |
Ye Liu |
Daniel Hopkins |
Lyle Ungar |
Semantic Word Clusters Using Signed Spectral Clustering
ACL
João Sedoc |
Jean Gallier |
Dean Foster |
Lyle Ungar |
On the Distribution of Lexical Features at Multiple Levels of Analysis
ACL
Fatemeh Almodaresi |
Lyle Ungar |
Vivek Kulkarni |
Mohsen Zakeri |
Salvatore Giorgi |
H. Andrew Schwartz |
evision PDF of 'Recognizing Counterfactual Thinking in Social Media Texts
ACL
Youngseo Son |
Anneke Buffone |
Joe Raso |
Allegra Larche |
Anthony Janocko |
Kevin Zembroski |
H Andrew Schwartz |
Lyle Ungar |
Personality Driven Differences in Paraphrase Preference
NLP+CSS
WS
Daniel Preoţiuc-Pietro |
Jordan Carpenter |
Lyle Ungar |
Does ‘well-being’ translate on Twitter?
EMNLP
Laura Smith |
Salvatore Giorgi |
Rishi Solanki |
Johannes Eichstaedt |
H. Andrew Schwartz |
Muhammad Abdul-Mageed |
Anneke Buffone |
Lyle Ungar |
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference
EMNLP
Masoud Rouhizadeh |
Lyle Ungar |
Anneke Buffone |
H Andrew Schwartz |
An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
LREC
Dean Fulgoni |
Jordan Carpenter |
Lyle Ungar |
Daniel Preoţiuc-Pietro |
Analyzing Biases in Human Perception of User Age and Gender from Text
ACL
Lucie Flekova |
Jordan Carpenter |
Salvatore Giorgi |
Lyle Ungar |
Daniel Preoţiuc-Pietro |
Exploring Stylistic Variation with Age and Income on Twitter
ACL
Lucie Flekova |
Daniel Preoţiuc-Pietro |
Lyle Ungar |
Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology
WS
Kristy Hollingshead |
Lyle Ungar |
Modelling Valence and Arousal in Facebook posts
WASSA
WS
Daniel Preoţiuc-Pietro |
H. Andrew Schwartz |
Gregory Park |
Johannes Eichstaedt |
Margaret Kern |
Lyle Ungar |
Elisabeth Shulman |
Extracting Human Temporal Orientation from Facebook Language
NAACL
H. Andrew Schwartz |
Gregory Park |
Maarten Sap |
Evan Weingarten |
Johannes Eichstaedt |
Margaret Kern |
David Stillwell |
Michal Kosinski |
Jonah Berger |
Martin Seligman |
Lyle Ungar |
Crowdsourcing for NLP
NAACL
Chris Callison-Burch |
Lyle Ungar |
Ellie Pavlick |
The role of personality, age, and gender in tweeting about mental illness
CLPsych
WS
Daniel Preoţiuc-Pietro |
Johannes Eichstaedt |
Gregory Park |
Maarten Sap |
Laura Smith |
Victoria Tobolsky |
H. Andrew Schwartz |
Lyle Ungar |
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task
CLPsych
WS
Daniel Preoţiuc-Pietro |
Maarten Sap |
H. Andrew Schwartz |
Lyle Ungar |
Developing Age and Gender Predictive Lexica over Social Media
EMNLP
Maarten Sap |
Gregory Park |
Johannes Eichstaedt |
Margaret Kern |
David Stillwell |
Michal Kosinski |
Lyle Ungar |
Hansen Andrew Schwartz |
Towards Assessing Changes in Degree of Depression through Facebook
WS
H. Andrew Schwartz |
Johannes Eichstaedt |
Margaret L. Kern |
Gregory Park |
Maarten Sap |
David Stillwell |
Michal Kosinski |
Lyle Ungar |
Experiments with Spectral Learning of Latent-Variable PCFGs
NAACL
Shay B. Cohen |
Karl Stratos |
Michael Collins |
Dean P. Foster |
Lyle Ungar |
Spectral Learning Algorithms for Natural Language Processing
NAACL
Shay Cohen |
Michael Collins |
Dean Foster |
Karl Stratos |
Lyle Ungar |
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach
*SEMEVAL
Hansen Andrew Schwartz |
Johannes Eichstaedt |
Eduardo Blanco |
Lukasz Dziurzynski |
Margaret L. Kern |
Stephanie Ramones |
Martin Seligman |
Lyle Ungar |
Improving Supervised Sense Disambiguation with Web-Scale Selectors
COLING
H. Andrew Schwartz |
Fernando Gomez |
Lyle Ungar |
New Insights from Coarse Word Sense Disambiguation in the Crowd
COLING
Adam Kapelner |
Krishna Kaliannan |
H. Andrew Schwartz |
Lyle Ungar |
Dean Foster |
Spectral Dependency Parsing with Latent Variables
CoNLL
EMNLP
Paramveer Dhillon |
Jordan Rodu |
Michael Collins |
Dean Foster |
Lyle Ungar |
Spectral Learning of Latent-Variable PCFGs
ACL
Shay B. Cohen |
Karl Stratos |
Michael Collins |
Dean P. Foster |
Lyle Ungar |
Penn: Using Word Similarities to better Estimate Sentence Similarity
*SEMEVAL
Sneha Jha |
Hansen A. Schwartz |
Lyle Ungar |
A New Approach to Lexical Disambiguation of Arabic Text
EMNLP
Rushin Shah |
Paramveer S. Dhillon |
Mark Liberman |
Dean Foster |
Mohamed Maamouri |
Lyle Ungar |
Transfer Learning, Feature Selection and Word Sense Disambiguation
ACL
IJCNLP
Paramveer S. Dhillon |
Lyle H. Ungar |
An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation
HLT
NAACL
Jinying Chen |
Andrew Schein |
Lyle Ungar |
Martha Palmer |
Integrated Annotation for Biomedical Information Extraction
WS
Seth Kulick |
Ann Bies |
Mark Liberman |
Mark Mandel |
Ryan McDonald |
Martha Palmer |
Andrew Schein |
Lyle Ungar |
Scott Winters |
Pete White |
Linguistic
Task
Approach
Language
Dataset Type
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