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A Generative Approach for Financial Causality Extraction

, , , , , and . Companion Proceedings of the Web Conference 2022, ACM, (April 2022)
DOI: 10.1145/3487553.3524633

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Effective Attention Modeling for Neural Relation Extraction., and . CoNLL, page 603-612. Association for Computational Linguistics, (2019)Exploring Generative Models for Joint Attribute Value Extraction from Product Titles., , and . CoRR, (2022)Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering., , and . RANLP, page 1031-1039. INCOMA Ltd., (2021)Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction., and . AAAI, page 8528-8535. AAAI Press, (2020)Aspect Sentiment Triplet Extraction Using Reinforcement Learning., , , and . CIKM, page 3603-3607. ACM, (2021)A Generative Approach for Financial Causality Extraction., , , , , and . WWW (Companion Volume), page 576-578. ACM, (2022)A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions., , , , and . COLING, page 4537-4543. International Committee on Computational Linguistics, (2022)Using Sentence-level Classification Helps Entity Extraction from Material Science Literature., , , , , and . LREC, page 4540-4545. European Language Resources Association, (2022)tagE: Enabling an Embodied Agent to Understand Human Instructions., , , and . EMNLP (Findings), page 8846-8857. Association for Computational Linguistics, (2023)Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?, , and . IJCNLP (2), page 43-51. Association for Computational Linguistics, (2023)