Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines

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TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities

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Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives

Conference paper

Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs

Conference paper

Deep Cross-Attention Network for Crowdfunding Success Prediction

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Extracting Actionable Insights from Text Data: A Stable Topic Model Approach

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FinBERT: A Large Language Model for Extracting Information from Financial Text*

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sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics

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Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach

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Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning

Conference paper

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization

Conference paper

Exploring Hypergraph of Earnings Call for Risk Prediction

Conference paper

FinEntity: Entity-level Sentiment Classification for Financial Texts

Conference paper

Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Conference paper

Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications

Conference paper

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach

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Federated Meta Embedding Concept Stock Recommendation

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Identifying market structure: a deep network representation learning of social engagement

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Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

Conference paper

BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection

Conference paper

Benchmarking Intersectional Biases in NLP

Conference paper

Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models

Conference paper

Unifying online and offline preference for social link prediction

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Constructing a Psychometric Testbed for Fair Natural Language Processing

Conference paper

Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph

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Rumor Detection on Social Media with Event Augmentations

Conference paper

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Conference paper

Interpretable Operational Risk Classification with Semi-supervised Variational Autoencoder

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Interpreting Twitter User Geolocation

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Neural Topic Model with Attention for Supervised Learning

Conference paper

Shedding Light on the Black Box Machine Learning Models: Reasonable and Counterfactual Explanations

Conference paper

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues

Conference paper

vec2link: Unifying Heterogeneous Data for Social Link Prediction

Conference paper

Market Structure Discovery from Social Media Engagement: A Network Embedding Based Approach

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The Stability and Usability of Statistical Topic Models

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Improving Topic Model Stability for Effective Document Exploration

Conference paper

Incorporating Conditional Random Fields and Active Learning to Improve Sentiment Identification

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