TY - GEN
T1 - Combining Extraction and Generation for Constructing Belief-Consequence Causal Links
AU - Alexeeva, Maria
AU - Beal Cohen, Allegra A.
AU - Surdeanu, Mihai
N1 - Funding Information:
This work was supported by the Defense Advanced Research Projects Agency (DARPA) under the Habitus program. Maria Alexeeva and Mihai Surdeanu declare a financial interest in lum.ai. This interest has been properly disclosed to the University of Arizona Institutional Review Committee and is managed in accordance with its conflict of interest policies.
Publisher Copyright:
© 2022 Association for Computational Linguistics.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85137478501
T3 - Insights 2022 - 3rd Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop
SP - 159
EP - 164
BT - Insights 2022 - 3rd Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop
A2 - Tafreshi, Shabnam
A2 - Sedoc, Joao
A2 - Rogers, Anna
A2 - Drozd, Aleksandr
A2 - Rumshisky, Anna
A2 - Akula, Arjun Reddy
PB - Association for Computational Linguistics (ACL)
T2 - 3rd Workshop on Insights from Negative Results in NLP, Insights 2022
Y2 - 26 May 2022
ER -