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06/01/2023
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation
Very large language models (LLMs) perform extremely well on a spectrum o...
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05/24/2023
Human-Centered Metrics for Dialog System Evaluation
We present metrics for evaluating dialog systems through a psychological...
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05/03/2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
While transformer-based systems have enabled greater accuracies with few...
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02/25/2023
Robust language-based mental health assessments in time and space through social media
Compared to physical health, population mental health measurement in the...
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05/10/2022
Human Language Modeling
Natural language is generated by people, yet traditional language modeli...
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12/27/2021
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction
Many works in natural language processing have shown connections between...
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09/16/2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
Much of natural language processing is focused on leveraging large capac...
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06/02/2021
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers
How much information do NLP tasks really need from a transformer's atten...
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05/07/2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
In human-level NLP tasks, such as predicting mental health, personality,...
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05/04/2021
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
Discourse relations are typically modeled as a discrete class that chara...
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11/12/2020
World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews
Background: Oral histories from 9/11 responders to the World Trade Cente...
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11/08/2020
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
In this paper, we present an iterative graph-based approach for the dete...
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04/14/2020
Quantifying Community Characteristics of Maternal Mortality Using Social Media
While most mortality rates have decreased in the US, maternal mortality ...
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11/10/2019
Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media
Social media is increasingly used for large-scale population predictions...
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10/25/2018
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations
Deep Learning has drastically reshaped virtually all areas of NLP. Yet o...
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09/04/2018
Causal Explanation Analysis on Social Media
Understanding causal explanations - reasons given for happenings in one'...
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08/29/2018
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
Nowcasting based on social media text promises to provide unobtrusive an...
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08/28/2018
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Predictive models over social media language have shown promise in captu...
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08/16/2018
Predicting Human Trustfulness from Facebook Language
Trustfulness -- one's general tendency to have confidence in unknown peo...
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06/14/2018
Using Search Queries to Understand Health Information Needs in Africa
The lack of comprehensive, high-quality health data in developing nation...
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05/22/2017