NLPExplorer

Lyle Ungar

Number of Papers:- 73

Number of Citations:- 239

First ACL Paper:- 2004

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

PEOPLES

CLPsych

COLING

WASSA

EMNLP

NLP-COVID19

HLT

Findings

LREC

NLP+CSS

Eval4NLP

ACL

EACL

*SEMEVAL

GEM

IJCNLP

NLPOSS

INLG

Co-Authors:-

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Pedro Aniel Sanchez Mirabal

Building Knowledge-Guided Lexica to Model Cultural Variation NAACL

Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis CLPsych WS

Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas F i n d i n g s - E M N L P

StyLEx: Explaining Style Using Human Lexical Annotations EACL

An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives EMNLP

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections F i n d i n g s - A C L

Conditioning on Dialog Acts improves Empathy Style Transfer F i n d i n g s - E M N L P

Renyi Qu | Lyle Ungar | João Sedoc |

Conceptor-Aided Debiasing of Large Language Models EMNLP

Li Yifei | Lyle Ungar | João Sedoc |

AWARE-TEXT: An Android Package for Mobile Phone Based Text Collection and On-Device Processing NLPOSS WS

Comparing Styles across Languages EMNLP

Shreya Havaldar | Matthew Pressimone | Eric Wong | Lyle Ungar |

Automatic Reflection Generation for Peer-to-Peer Counseling GEM WS

Measuring the Language of Self-Disclosure across Corpora ACL Findings

Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction CLPsych NAACL

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate NAACL

Inducing Generalizable and Interpretable Lexica F i n d i n g s - E M N L P

WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia NAACL

Characterizing Social Spambots by their Human Traits Findings

Salvatore Giorgi | Lyle Ungar | H. Andrew Schwartz |

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica EMNLP

Shirley Anugrah Hayati | Dongyeop Kang | Lyle Ungar |

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

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 |

Learning Word Ratings for Empathy and Distress from Document-Level User Responses LREC

Continual Learning for Sentence Representations Using Conceptors NAACL

Tianlin Liu | Lyle Ungar | João Sedoc |

ChatEval: A Tool for Chatbot Evaluation NAACL

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

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions EMNLP

Modeling Empathy and Distress in Reaction to News Stories EMNLP

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

Controlling Human Perception of Basic User Traits EMNLP

Daniel Preoţiuc-Pietro | Sharath Chandra Guntuku | Lyle Ungar |

Assessing Objective Recommendation Quality through Political Forecasting EMNLP

DLATK: Differential Language Analysis ToolKit EMNLP

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

evision PDF of 'Recognizing Counterfactual Thinking in Social Media Texts ACL

Personality Driven Differences in Paraphrase Preference NLP+CSS WS

Daniel Preoţiuc-Pietro | Jordan Carpenter | Lyle Ungar |

Does ‘well-being’ translate on Twitter? EMNLP

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

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

Extracting Human Temporal Orientation from Facebook Language NAACL

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

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

Towards Assessing Changes in Degree of Depression through Facebook WS

Experiments with Spectral Learning of Latent-Variable PCFGs NAACL

Spectral Learning Algorithms for Natural Language Processing NAACL

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach *SEMEVAL

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

Spectral Dependency Parsing with Latent Variables CoNLL EMNLP

Spectral Learning of Latent-Variable PCFGs ACL

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

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