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 - 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.
UR - https://www.scopus.com/pages/publications/85137478501
UR - https://www.scopus.com/pages/publications/85137478501#tab=citedBy
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 -