NLPExplorer

Lyle Ungar

Number of Papers:- 54

Number of Citations:- 239

First ACL Paper:- 2004

Latest ACL Paper:- 2020

Venues:-

COLING

HLT

PEOPLES

IJCNLP

EMNLP

NLP+CSS

ACL

Findings

CLPsych

WASSA

INLG

NLP-COVID19

Eval4NLP

EACL

*SEMEVAL

CoNLL

LREC

NAACL

Co-Authors:-

Similar Authors:-

Pedro Aniel Sanchez Mirabal

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 |

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