NLPExplorer

H Andrew Schwartz

Number of Papers:- 49

Number of Citations:- 122

First ACL Paper:- 2008

Latest ACL Paper:- 2024

Venues:-

NAACL

EACL

CLPsych

CoNLL

Findings

ACL

PEOPLES

SEW

*SEMEVAL

IJCNLP

EMNLP

WASSA

HuCLLM

COLING

NLP+CSS

Co-Authors:-

Adam Kapelner

Adithya V Ganesan

Adithya Virinchipuram Ganesan

Akash Idnani

Alissa Goodman

Similar Authors:-

Pedro Aniel Sanchez Mirabal

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

From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP NAACL

evision PDF of 'Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk CLPsych WS

Proceedings of the 1st Human-Centered Large Language Modeling Workshop HuCLLM WS

Discourse-Level Representations can Improve Prediction of Degree of Anxiety ACL

Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge ACL

Human Language Modeling ACL Findings

Nikita Soni | Matthew Matero | Niranjan Balasubramanian | H. Andrew Schwartz |

WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums CLPsych NAACL

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL

Characterizing Social Spambots by their Human Traits Findings

Salvatore Giorgi | Lyle Ungar | H. Andrew Schwartz |

evision PDF of 'MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP Findings

Matthew Matero | Nikita Soni | Niranjan Balasubramanian | H. Andrew Schwartz |

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers Findings

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL

Deven Santosh Shah | H. Andrew Schwartz | Dirk Hovy |

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL

Veronica Lynn | Niranjan Balasubramanian | H. Andrew Schwartz |

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 |

Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING

Matthew Matero | H. Andrew Schwartz |

Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling EMNLP NLP+CSS

Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes NAACL WS

Veronica Lynn | Salvatore Giorgi | Niranjan Balasubramanian | H. Andrew Schwartz |

Suicide Risk Assessment with Multi-level Dual-Context Language and BERT NAACL WS

Identifying Locus of Control in Social Media Language EMNLP

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

Causal Explanation Analysis on Social Media EMNLP

Youngseo Son | Nipun Bayas | H. Andrew Schwartz |

Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP

CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays CLPsych NAACL WS

Predicting Human Trustfulness from Facebook Language CLPsych NAACL WS

Mohammadzaman Zamani | Anneke Buffone | H. Andrew Schwartz |

Human Centered NLP with User-Factor Adaptation EMNLP

Assessing Objective Recommendation Quality through Political Forecasting EMNLP

DLATK: Differential Language Analysis ToolKit EMNLP

Using Twitter Language to Predict the Real Estate Market EACL

Mohammadzaman Zamani | H. Andrew Schwartz |

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions IJCNLP

Daniel Rieman | Kokil Jaidka | H. Andrew Schwartz | 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

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 |

Modelling Valence and Arousal in Facebook posts WASSA WS

The Clinical Panel: Leveraging Psychological Expertise During NLP Research NLP+CSS WS

Extracting Human Temporal Orientation from Facebook Language NAACL

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

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

Penn: Using Word Similarities to better Estimate Sentence Similarity *SEMEVAL

Sneha Jha | Hansen A. Schwartz | Lyle Ungar |

UCF-WS: Domain Word Sense Disambiguation Using Web Selectors *SEMEVAL

Hansen A. Schwartz | Fernando Gomez |

Acquiring Applicable Common Sense Knowledge from the Web WS

Hansen A. Schwartz | Fernando Gomez |

Using Web Selectors for the Disambiguation of All Words SEW WS

Hansen A. Schwartz | Fernando Gomez |

Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation CoNLL WS

Hansen A. Schwartz | Fernando Gomez |