Allegra A. Beal Cohen

Also published as: Allegra A. Beal Cohen


2023

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Annotating and Training for Population Subjective Views
Maria Alexeeva | Caroline Hyland | Keith Alcock | Allegra A. Beal Cohen | Hubert Kanyamahanga | Isaac Kobby Anni | Mihai Surdeanu
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis

In this paper, we present a dataset of subjective views (beliefs and attitudes) held by individuals or groups. We analyze the usefulness of the dataset by training a neural classifier that identifies belief-containing sentences that are relevant for our broader project of interest—scientific modeling of complex systems. We also explore and discuss difficulties related to annotation of subjective views and propose ways of addressing them.

2022

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Combining Extraction and Generation for Constructing Belief-Consequence Causal Links
Maria Alexeeva | Allegra A. Beal Cohen | Mihai Surdeanu
Proceedings of the Third Workshop on Insights from Negative Results in NLP

In this paper, we introduce and justify a new task—causal link extraction based on beliefs—and do a qualitative analysis of the ability of a large language model—InstructGPT-3—to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.