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Towards a Multi-Entity Aspect-Based Sentiment Analysis for Characterizing Directed Social Regard in Online Messaging
Online messaging is dynamic, influential, and highly contextual, and a single post may contain contrasting sentiments towards multiple entities, such as dehumanizing one actor while empathizing with another in the same message. These complexities are important to capture for understanding the systematic abuse voiced within an online community, or for determining whether individuals are advocating for abuse, opposing abuse, or simply reporting abuse.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation
Data annotation remains the sine qua non of machine learning and AI.
Assessing LLMs for Moral Value Pluralism
We apply RVR to the text generated by LLMs to characterize implicit moral values, allowing us to quantify the moral/cultural distance between LLMs and various demographics that have been surveyed using the WVS.
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach
Qualitative causal relationships compactly express the direction, dependency, temporal constraints, and monotonicity constraints of discrete or continuous interactions in the world.
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
Modern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived text.
